My work has explored the effects of commonly used priors and approximate inference algorithms on the quality of posterior uncertainties in BNNs, and developed algorithms for inference and efficient decision making in BNNs. Prior to that, I completed a postdoc with Professor Tamara Broderick at MIT and earned my Ph.D. in Statistics at Wharton where I was supervised by Professors Ed George and Veronika Rockova. Yet well-calibrated predictive uncertainties are essential for deciding when to abstain from a prediction in safety-critical applications, for producing diverse outputs from generative models, and for effectively traversing the exploration-exploitation tradeoff. These potential advantages have motivated my research into BNNs. Forever and always! On this Wikipedia the language links are at the top of the page across from the article title. Can we globally optimize cross-validation loss? Award: EECS Outstanding Educator Award. Verified email at mit.edu - Homepage. This CoR takes a unified approach to cover the full range of research areas required for success in artificial intelligence, including hardware, foundations, software systems, and applications. CT-Kyle/ML-Labs Ana Bell - Lecturer - Massachusetts Institute of . In the 13th day of testimony at the Broderick murder trial, Daniel J. Sonkin, a licensed marriage and family counselor from Sausalito, painted a picture of a woman so beaten down by her husband . [5] She studied mathematics at Princeton University, earning a bachelor's degree in 2007. Tamara Broderick is a PhD candidate in statistics at the University of California, Berkeley and will start as an assistant professor in EECS at MIT in January 2015. Associate Professor of EECS, Massachusetts Institute of Technology. . Join Facebook to connect with Tamra Broderick and others you may know. You can find a "problem set 0" on the Piazza page to help you gauge your background; it is not graded, but you should be very comfortable solving the questions in it strictly before taking this course. [11][12] She returned to America in 2009, joining University of California, Berkeley for her Master's and PhD. Tools for visualizing the results from such progression models are necessary for researchers to glean insights from such progression models. In the paper, Broderick, Cai and Ca. Tamara Broderick is an associate professor in MIT's Department of Electrical Engineering and Computer Science. [1], Broderick is from Parma Heights, Ohio. Email: Note that this class is heavily based on discussion and active student participation. Recipient: Adam Belay, Jamieson Career Development Assistant Professor of EECS. They've now been married for 25 years and have three children. Soumya Ghosh, Zhaonan Sun, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu. As a bonus, the same machinery can be used to approximate cross-validation in hidden Markov models and Markov random fields. Scalable Bayesian Inference via Adaptive Data Summaries, Scalable Bayesian inference with optimization, Programming Languages & Software Engineering. Tamara Broderick, Lester W. Mackey, J. Paisley, Michael I. Jordan Computer Science IEEE Transactions on Pattern Analysis and Machine 8 November 2011 We develop a Bayesian nonparametric approach to a general family of latent class problems in which individuals can belong simultaneously to multiple classes and where each class can be exhibited She works on machine learning and Bayesian inference. Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B Sudderth. To that end, I'm particularly interested in Bayesian inference and graphical models with an emphasis on scalable, nonparametric, and unsupervised learning. Tamara Broderick Associate Professor of EECS, [AI+D] tbroderick@csail.mit.edu 617-324-6749 Office: 32-D762 Website Research Areas Artificial Intelligence + Machine Learning Latest News More News April 5, 2022 System helps severely motor-impaired individuals type more quickly and accurately 21 May 2021, 13:51 (edited 21 Jan 2022) NeurIPS 2021 Poster. BNP based Methods for federated learning and model fusion. The Department is excited to announce that we are relaunching theColloquium Seminar Serieswith a whole new group of distinguished speakers this Spring!Our first Colloquium will be:Thursday, January 26th4:00-5:00pmKresge G2 Tamara Broderick - 1/26 The Department is excited to announce that we are relaunching the Colloquium Seminar Series with a whole new group of distinguished speakers this Spring! First class: Tuesday, February 1. January 23, 2023, , We develop efficient but accurate approximations which involve a single fit to the dataset and allow one to perturb data by dropping time-steps from within a time series or sites from a spatial extent. Latent variable models can be useful tools for representation learning from clinical registries with noisy data with missing values and more broadly for analyzing case-control studies. I work in the areas of machine learning and statistics . [3] She won the Phi Beta Kappa Prize for the highest academic average at Princeton University. Rather than respond privately, Parker who shares three kids with Broderick: James, 16, and 9-year-old twins Marion and Tabitha decided to call The Enquirer out for her 5.4 million . OpenReview Archive Direct Upload. ISBA is the largest scientific society devoted to the development and promotion of Bayesian methods and their analysis. Soumya Ghosh, Jiayu Yao, Fianle Doshi-Velez. Tamara Broderick, Associate Professor in Electrical Engineering and Computer Science, an IDSS Affiliate Faculty member, LIDS Affiliate Member, Core Faculty of SDSC, and member of MIT CSAIL, has been awarded an Early Career Grant (ECG) by the Office of Naval Research. We will assume familiarity with graphical models, exponential families, finite-dimensional Gaussian mixture models, expectation maximization, linear & logistic regression, hidden Markov models. Quantifying the uncertainty of a prediction made by a modern neural network remains challenging. [22] She spoke about Bayesian inference at the 2018 International Conference on Machine Learning. Broderick este din Parma Heights, Ohio.A urmat coala Laurel i a absolvit n 2003. You can learn more about my background in the following (plaintext) short bio. Email: tbroderick@csail.mit.edu. The case made national . [1] For faster navigation, this Iframe is preloading the Wikiwand page for Tamara Broderick . You can learn more about my background in the following (plaintext) short bio . We work in the areas of statistics and machine learning. She is a member of the MIT Laboratory for Information and Decision Systems (LIDS), the MIT Statistics and Data Science Center, and the Institute for Data, Systems, and Society (IDSS). A new measure "provides some statistical 'oomph'" to help data scientists choose the best method for their task, says Tamara Broderick, an associate professor in EECS and a member of LIDS and IDSS, and whose team developed the tool . arXiv preprint arXiv:0712.2437, 2007. [10] Her graduate research was supported by the Berkeley Fellowship and a National Science Foundation Fellowship. Bayesian neural networks (BNN) hold the promise of retaining their point-estimated counterparts predictive performance while providing well-calibrated uncertainties and principled approaches for model selection. [14] She is interested in Bayesian statistics and Graphical models. [17] Broderick is also Alfred P. Sloan Foundation scholar. The second best result is Tamara Broderick age 30s in Cambridge, MA in the Riverside neighborhood. [26][27] She has developed a high-school level introduction to machine learning with the Women's Technology Program (WTP). T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek. Tamara echoed this. The murder of Dan Broderick at the hands of his ex-wife, Betty Broderick, is a chilling story of divorce and double homicide that dominated the headlines in the late 1980s and early '90s.While . A studiat matematic la Universitatea Princeton, obinnd o diplom de licen n 2007.A fost un crturar Marshall, permindu-i s urmeze cercetri . As suas, Esta contagem de "Citado por" inclui citaes dos artigos seguintes no Google Acadmico. June 2, 2020 12:28 PM PT. A naive approach to understanding the effect of data perturbations involves refitting the model of interest to many perturbations of the data. However, she found that this . Learn more about the award here. March 17, 2021 Tamara Broderick, Associate Professor in Electrical Engineering and Computer Science, an IDSS Affiliate Faculty member, LIDS Affiliate Member, Core Faculty of SDSC, and member of MIT CSAIL, has been awarded an Early Career Grant (ECG) by the Office of Naval Research. [28] Software she has developed is available on her website. On June 22, Broderick posted bail, which was set at $50,000, and was . [3] She was a Marshall scholar, allowing her to pursue graduate research at the University of Cambridge. Nothing will be formally due or graded during the first week of class. Parker shares James with husband Matthew Broderick, whom she married in 1997. Tamara was also "recommended for [her] service record . Bayesian seeks to estimate the distribution of an unknown quantity (i.e., posterior), and often relies on sampling-based algorithms (e.g., Markov Chain Monte Carlo); Frequentist seeks to estimate the single "best" value of an unknown quantity, and often relies on optimization algorithms. Two bullets hit Linda in the head and chest, killing her . Associate Professor of EECS, Massachusetts Institute of Technology. [3] She was a runner-up in the Association for Women in Mathematics Alice T. Shafer Prize for Excellence in Mathematics. Academic theme for I work on both tools to detect lack-of-robustness in ML analysis and methods for robustifying ML analysis through carefully designed models, algorithms that produce well-calibrated uncertainties, and are robust to poor optima. Quantifying the uncertainty of a prediction made by a modern neural network remains challenging. Darlene DeMayo watches nearby, as a grin spreads across her face. (E.g. [15] She was the recipient of a Google Faculty Research Grant and International Society for Bayesian Analysis Lifetime Members Junior Researcher Award. The couple are also parents to 11-year-old twins Tabitha Hodge and Marion Loretta Elwell . Article. Kristen A Severson, Soumya Ghosh, Kenney Ng. Prof. Broderick received the award in recognition of her significant contributions to Bayesian nonparametrics and machine learning, as well as her leadership in the field of statistical science and her potential to help shape and strengthen its future. Recipient: Justin Solomon, Associate Professor of EECS. My research interests include Bayesian hierarchical modeling, Bayesian regression trees, model selection, causal inference, and applications in public . This course gives . Tamara Broderick. Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez. Before coming to MIT, I completed my PhD at UC Berkeley. 2. free. Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day. Its nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by Undergraduates participating in MIT Quest for Intelligence-sponsored research projects this fall included (clockwise from top left) Sean Mann, Julia Gaubatz, Subhash Kantamneni, and Pranali Vani. Tamara Broderick has received two awards at the 2016 World Meeting of the International Society for Bayesian Analysis (ISBA) that took place in June 2016 in Sardinia. Broderick developed a simplified version of Nomon several years ago but decided to revisit it to make the system easier for motor-impaired individuals to use. I work as an Applied Research Scientist at Amazon. Mixture models, admixtures, Dirichlet process, Chinese restaurant process. Variants of hidden Markov models are effective for characterizing disease progression as a sequence of jumps between interpretable disease states. Prof. Brodericks previous awards include the Ruth and Joel Spira Award for Distinguished Teaching at MIT (2020), the School of Engineering Junior Bose Award (2019), an AISTATS Notable Paper Award (2019), an NSF CAREER Award (2018) and a Sloan Research Fellowship (2018), among others. [8] Broderick moved to the United Kingdom for her graduate studies, earning a Master of Advanced Studies for completing Part III of the Mathematical Tripos at the University of Cambridge in 2009. Award: EECS Outstanding Educator Award. Although she didn't have a name for it at the time, she enjoyed starting from two and recursively adding each number to itself up to 8,192 and beyond. Join Facebook to connect with Tamara Broderick and others you may know. 1970) and Lee (b. As citaes marcadas com, Com base em autorizaes de financiamento, T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan, Advances in neural information processing systems 26, Advances in Neural Information Processing Systems 29. I have worked on developing spatial BNP (and BNP inspired) priors and robust inference schemes for automatically segmenting images and videos. Will the inferences drawn from a particular analysis or predictions made by a model change substantially under perturbations to training data, minor variations of modeling assumptions, or upon using alternate learning and inference algorithms? As a young girl growing up in Parma, Ohio, Tamara Broderick was fascinated by the powers of two. [3] She attended Laurel School and graduated in 2003. To obtain scalable Bayesian inference methods, we develop algorithms to create compact summaries of large quantities of data. Hierarchical modeling, including popular models such as latent Dirichlet allocation. When making predictions based on data, not all modeling techniques work equally well for all datasets. Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang. Broderick and Dan had four children together: daughters Kim (b. 77 Massachusetts Avenue In theory, Bayesian methods for discovering pairwise interactions . at MIT, 6.437 or 6.438 or [6.867 and 6.436].) She attended Laurel School and graduated in 2003. William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick. Today, Kim is married and lives in Idaho with her husband. "Nick has continually impressed me and our collaborators by picking up tools and ideas so quickly," she says. Board-certified in OB/GYN, she has practiced in Greenville since 1998. She is also a certified provider of Mona Lisa Touch . Methods for discovering parts of 3D object representations. [9][10] Her Master's thesis looked at the Nomon selection method, improving the efficiency of communications. Room 32-D608 Tamara de Lempicka - Tamara empicka (born Tamara Rozalia Gurwik-Grska; 16 May 1898 - 18 March 1980; colloquial: Tamara de Lempicka) was a Polish painter who spent her working life in France and the United State. [7] During her undergraduate degree, Broderick worked on dark matter haloes with Rachel Mandelbaum. Cambridge, MA 02136, Tamara Broderick awarded membership in 2021 COPSS Leadership Academy, Laboratory for Information & Decision Systems, Companies Founded by LIDS Community Members, Statistical Inference and Machine Learning, Communications and Networking Research Group (CNRG), Inference and Stochastic Networks Group (ISNG), Wireless Information and Network Sciences Laboratory (WINSLab), Laboratory for Information and Decision Systems. On the morning of November 5, 1989, she entered her ex-husband Dan's home with a gun, crept upstairs, and shot him and his new wife while they still slept. Broadly, I am interested in questions of trust in a machine learning (ML) analysis. LinkedIn View on LinkedIn Tamara Broderick is the Assistant Professor in the Department of Electrical Engineering and Computer Science at MIT. Recipient: Lizhong Zheng, Professor of Electrical Engineering. Claim your profile and join one of the world's largest A.I. Educaie i carier timpurie. [18][19][20][21], In 2018, Broderick spoke at the Harvard University Institute for Applied Computational Science Women in Data Science conference. Hey Tamara Broderick! Stephen Broderick, the former sheriff's detective charged with killing three people, including his estranged wife and teenage daughter in Austin, Texas on Sunday, was accused by his wife in a . The framework makes streaming updates to the estimated posterior according to a user-specified approximation batch primitive. [14], Broderick joined Massachusetts Institute of Technology as an Assistant Professor in 2015. claim Claim with Google Claim with Twitter Claim with GitHub Claim with LinkedIn. We also aim to understand the connections between the two approaches of statistical inference: Bayesian and frequentist. 18. She completed her Ph.D. in Statistics at the University of California, Berkeley in 2014. In my research, I am interested in understanding how we can reliably quantify uncertainty and robustness in modern, complex data analysis procedures. [29], Broderick was awarded the Evelyn Fix Memorial Medal and Citation and the International Society for Bayesian Analysis Savage Award for her doctoral thesis. We look at this question in the context of Gaussian processes and develop a methodology for measuring sensitivity to the choice of the kernel choice. [13][2] In 2013 she was selected for the Berkeley EECS Rising Stars conference. Worked under professors Leslie Kaelbling, Tamara Broderick, Duane Boning, Patrick Jaillet, and Jacob Andreas, among others. Tamara Ann Broderick is an American computer scientist at the Massachusetts Institute of Technology. O sistema no pode efectuar a operao agora. He spent 16 days behind bars last summer on charges of sexually assaulting a child family member, according to the paper. Tamara Broderick tbroderick@csail.mit.edu Computer Science and Arti cial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA 02139, USA Editor: Zhihua Zhang Abstract The automation of posterior inference in Bayesian data analysis has enabled experts and Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang, Yasaman Khazaeni. The award is jointly sponsored by the American Statistical Association (ASA), Institute of Mathematical Statistics (IMS), Eastern and Western Regions of the International Biometric Society (ENAR and WNAR), and the Statistical Society of Canada (SSC). I am a core contributor to the Uncertainty quantification UQ360 an open source toolbox that provides a number of approaches to quantifying, measuring the qualtiy, and communicating uncertainties. Massachusetts Institute of TechnologyRoom 32-D60877 Massachusetts AvenueCambridge, MA 02139, Laboratory for Information [3][6] She was co-president of the Princeton Math Club and organised a competition for high school maths teams. Electrical Engineers design systems that sense, process, and transmit energy and information. Award: Jerome H. Saltzer Award for Excellence in Teaching. I am also interested in uncertainty quantification more broadly. Electrical Engineering and Computer Science (, Laboratory for Information and Decision Systems (, Institute for Data, Systems, and Society (, MIT Institute for Foundations of Data Science (. Furious, Broderick grabbed her daughter's key and left her La Jolla Shores home, headed for Dan and Linda's house in Hillcrest. Schedule an Appointment Dr. Elizabeth Haswell Obstetrics & Gynecology In this line of research, we develop tools for answering these questions. Cambridge, MA 02136, Tamara Broderick awarded ONR Early Career Grant, Laboratory for Information & Decision Systems, Companies Founded by LIDS Community Members, Statistical Inference and Machine Learning, Communications and Networking Research Group (CNRG), Inference and Stochastic Networks Group (ISNG), Wireless Information and Network Sciences Laboratory (WINSLab), Laboratory for Information and Decision Systems. Zhaonan Sun, Soumya Ghosh, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, Jianying Hu. [16] She was awarded an Army Research Office young investigator program award to investigate machine-learning to quantify uncertainty in data analysis. Prof. Broderick's lecture was titled "Fast discovery of pairwise interactions in high dimensions using Bayes." T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek. [23] She led a three-day Masterclass on machine learning at University College London in June 2018. Soumya Ghosh, Francesco Maria Delle Fave, Jonathan Yedidia. She works on machine learning and Bayesian inference. Tamara Broderick, Associate Professor in EECS and member of IDSS, LIDS, SDSC and CSAIL, gave the prestigious Susie Bayarri Lecture on July 1 st at the 2021 World Meeting of the International Society for Bayesian Analysis (ISBA). I am an Associate Professor at MIT. Enraged at what she perceived was an unfair settlement, and that her husband had affairs, she took revenge. To apply to work with me as a PhD student, submit your application to MIT EECS; To apply to work with me as a postdoc, email me your CV (pdf), a statement of research interests, a pdf of 1 (or 2) of your most significant publications, and the contact details (including email addresses) of two references. Prof. Broderick received an Army Research Office Young Investigator Program award in 2017. She completed her Ph.D. in Statistics at the University of California, Berkeley in 2014. Education and early career. Tamara Broderick Associate Professor Email tbroderick@csail.mit.edu Phone 324-6749 Last updated Oct 29 '21 Research Areas AI & ML Impact Areas Big Data Projects Project Scalable Bayesian Inference via Adaptive Data Summaries Machine Learning Vertical AI Community of Research Office Hours: Thursdays, 45pm Approximate Cross-Validation for Structured Models, Measuring the robustness of Gaussian processes to kernel choice, Assumed density filtering methods for learning bayesian neural networks, Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors, Model Selection in Bayesian Neural Networks via Horseshoe Priors, Quality of Uncertainty Quantification for Bayesian Neural Network Inference, Post-hoc loss-calibration for Bayesian neural networks, Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI, An exploration of latent structure in observational Huntingtons disease studies, Unsupervised learning with contrastive latent variable models, A probabilistic disease progression modeling approach and its application to integrated Huntingtons disease observational data, Discovery of Parkinsons disease states and disease progression modelling: a longitudinal data study using machine learning, DPVis: Visual analytics with hidden markov models for disease progression pathways, Spatial distance dependent Chinese restaurant processes for image segmentation, Nonparametric learning for layered segmentation of natural images, Nonparametric Clustering with Distance Dependent Hierarchies, From deformations to parts: Motion-based segmentation of 3D objects, Bayesian nonparametric federated learning of neural networks, Statistical model aggregation via parameter matching. Prof. Brodericks research has focused on developing and analyzing models for scalable Bayesian machine learning, as well as developing new machine learning methods that can quantify uncertainty in complex data analysis problems, and scale to modern, large data sets. Quasiconvexity in ridge regression. Copyright 2023 The President and Fellows of Harvard College, Jeff Miller Promoted to Associate Professor, Shuting Shen Receives 2023 SLDS Student Paper Competition Award, Harvard T.H. Instructor: Tamara Broderick. The end of the series sees Betty convicted of the second-degree murders of Dan and Linda but sadly, due to the show's timeline, what happened next has been . B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, R Mandelbaum, CM Hirata, T Broderick, U Seljak, J Brinkmann, Monthly Notices of the Royal Astronomical Society 370 (2), 1008-1024, International Conference on Machine Learning, 698-706, International Conference on Machine Learning, 226-234, The Journal of Machine Learning Research 20 (1), 551-588, Journal of machine learning research 19 (51), Advances in neural information processing systems 28, T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek, F Guo, X Wang, K Fan, T Broderick, DB Dunson, T Broderick, L Mackey, J Paisley, MI Jordan, IEEE transactions on pattern analysis and machine intelligence 37 (2), 290-306, R Giordano, W Stephenson, R Liu, M Jordan, T Broderick, The 22nd International Conference on Artificial Intelligence and Statistics, Journal of Computational and Graphical Statistics 23 (3), 589-615, J Huggins, M Kasprzak, T Campbell, T Broderick, International Conference on Artificial Intelligence and Statistics, 1792-1802, Novos artigos relacionados com a pesquisa deste autor, Coresets for scalable Bayesian logistic regression, Transparency and reproducibility in artificial intelligence, Ellipticity of dark matter haloes with galaxygalaxy weak lensing, Bayesian coreset construction via greedy iterative geodesic ascent, Beta processes, stick-breaking and power laws, MAD-Bayes: MAP-based asymptotic derivations from Bayes, Automated scalable Bayesian inference via Hilbert coresets, Covariances, robustness and variational bayes, Linear response methods for accurate covariance estimates from mean field variational Bayes, Faster solutions of the inverse pairwise Ising problem, Combinatorial clustering and the beta negative binomial process, Feature allocations, probability functions, and paintboxes, Redshift accuracy requirements for future supernova and number count surveys, Validated variational inference via practical posterior error bounds. She is also an investigator at the Institute for Data, Systems, and Society and the Computer Science and Artificial Intelligence Laboratory. NeurIPS 2021 : 13471-13484 Tamara Broderick, Associate Professor, Electrical Engineering and Computer Science Connor W. Coley, Henri A. Slezynger (1957) Career Development Professor; Assistant Professor, Chemical Engineering and Electrical Engineering and Computer Science Luca Daniel, Professor, Electrical Engineering and Computer Science Teaching @ Pontifical Catholic University of Chile. Meet P Vadera, Soumya Ghosh, Kenney Ng, Benjamin M Marlin. This is infeasible for large datasets and structured latent variable models, which involve expensive marginalization over latent variables. She studied mathematics at Princeton University, earning a bachelor's degree in 2007. We work on a variety of topics spanning theoretical foundations, algorithms, and applications. Somewhat surprisingly, we find that in many cases, minor perturbations to the kernel function result in substantially different predictions, calling into question the robustness of the underlying analysis. The pair married in a surprise ceremony at a New York synagogue with Parker in a black dress. Massachusetts Institute of TechnologyRoom 32-D60877 Massachusetts AvenueCambridge, MA 02139, Laboratory for Information Our goal is to enable scalable and accurate Bayesian inference for rich probabilistic models by applying optimization techniques. She works on machine learning and Bayesian inference. She is particularly interested in Bayesian statistics and graphical modelswith an emphasis on scalable, nonparametric, and unsupervised learning. Nick Bonaker is now in his third year working with Tamara Broderick, an associate professor in the Department of Electrical Engineering and Computer Science, to develop assistive technology tools for people with severe motor impairments. 2018/1 - Data Mining & Management. Tamara Broderick - 1/26. Powered by the Please help to demonstrate the notability of the topic by citing, Learn how and when to remove these template messages, Learn how and when to remove this template message, reliable, independent, third-party sources, International Society for Bayesian Analysis, Committee of Presidents of Statistical Societies, "Laurel School | Alumnae | Distinguished Alumna Award Recipients", "MIT School of Engineering | Tamara Broderick", "Speaker: Tamara Broderick: Big data conference: Strata Data Conference, September 25 - 28, 2017, New York, NY", "Nomon: Efficient communication with a single switch", "Tamara Broderick receives prestigious Army Research Office award | MIT EECS", "Two EECS faculty members receive 2018 Sloan Research Fellowships | MIT EECS", "NSF Award Search: Award#1750286 - CAREER: Robust, scalable, reliable machine learning", "Student Departmental Awards | Department of Statistics", "Savage Award | International Society for Bayesian Analysis", "News | Tamara Broderick receives 2018 NSF CAREER Award", https://en.wikipedia.org/w/index.php?title=Tamara_Broderick&oldid=1127405219, University of California, Berkeley alumni, Massachusetts Institute of Technology faculty, Short description is different from Wikidata, Articles with topics of unclear notability from December 2018, All articles with topics of unclear notability, Academics articles with topics of unclear notability, Articles lacking reliable references from December 2018, Articles with multiple maintenance issues, Creative Commons Attribution-ShareAlike License 3.0, This page was last edited on 14 December 2022, at 14:36. 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Children together: daughters Kim ( B Excellence in mathematics Li, Yu Cheng, Amrita,. ], Broderick worked on dark matter haloes with Rachel Mandelbaum Institute for data, all! William T. Stephenson, Soumya Ghosh, Francesco Maria Delle Fave, Jonathan Yedidia two approaches of statistical:! Four children together: daughters Kim ( B restaurant process Dirichlet process, Chinese restaurant process Summaries large. Of hidden Markov models are effective for characterizing disease progression as a spreads. For data, not all modeling techniques work equally well for all datasets, which involve marginalization! Images and videos Alfred P. Sloan Foundation scholar, and Society and the Computer Science at,!, causal inference, and applications in public two bullets hit Linda in the areas of learning! Fellowship and a National Science Foundation Fellowship in Bayesian statistics and machine and. Bell - Lecturer - Massachusetts Institute of Technology work equally well for all datasets navigation! 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