Tamara Broderick
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Tamara Broderick | |
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Born | Tamara Ann Broderick |
Alma mater | Princeton University (BS) University of Cambridge (MAS) University of California, Berkeley (PhD) |
Awards | National Science Foundation CAREER Award |
Scientific career | |
Fields | Machine Learning Statistics Bayesian Inference[1] |
Institutions | Massachusetts Institute of Technology |
Thesis | Clusters and features from combinatorial stochastic processes (2014) |
Doctoral advisor | Michael I. Jordan[2] |
Website | tamarabroderick |
Tamara Ann Broderick is an American computer scientist at the Massachusetts Institute of Technology. She works on machine learning and Bayesian inference.[1]
Education and early career
Broderick is from Parma Heights, Ohio.[3] She attended Laurel School and graduated in 2003.[4] Whilst at high school she took part in the inaugural Massachusetts Institute of Technology Women's Technology Program.[5] She studied mathematics at Princeton University, earning a bachelor's degree in 2007.[3] She was a Marshall scholar, allowing her to pursue graduate research at the University of Cambridge.[3] She was a runner-up in the Association for Women in Mathematics Alice T. Shafer Prize for Excellence in Mathematics.[3][6] She was co-president of the Princeton Math Club and organised a competition for high school maths teams.[3] She won the Phi Beta Kappa Prize for the highest academic average at Princeton University.[7] During her undergraduate degree, Broderick working on dark matter haloes with Rachel Mandelbaum.[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.[9][10] Her Master's thesis looked at the Nomon selection method, improving the efficiency of communications.[11][12] She returned to America in 2009, joining University of California, Berkeley for her Master's and PhD.[10] Her graduate research was supported by the Berkeley Fellowship and a National Science Foundation Fellowship.[7] Her PhD thesis Clusters and features from combinatorial stochastic processes looked at clustering and speeding up the analysis of large, streaming data sets.[13][2] In 2013 she was selected for the Berkeley EECS Rising Stars conference.[14]
Research and career
Broderick joined Massachusetts Institute of Technology as an Assistant Professor in 2015.[14] She is interested in Bayesian statistics and Graphical models.[15] She was the recipient of a Google Faculty Research Grant and International Society for Bayesian Analysis Lifetime Members Junior Researcher Award.[16] She was awarded an Army Research Office young investigator program award to investigate machine-learning to quantify uncertainty in data analysis.[17] Broderick is also Alfred P. Sloan Foundation scholar.[18][19][20][21]
Academic service
In 2018, Broderick spoke at the Harvard University Institute for Applied Computational Science Women in Data Science conference.[22] She spoke about Bayesian inference at the 2018 International Conference on Machine Learning.[23] She led a three-day Masterclass on machine learning at University College London in June 2018.[24][25] Broderick is a scientific advisor for AI.Reverie and WiML (Women in Machine Learning).[26][27] She has developed a high-school level introduction to machine learning with the Women's Technology Program (WTP).[28] Software she has developed is available on her website.[29]
Awards and honors
Broderick was awarded the Evelyn Fix Memorial Medal and Citation and the International Society for Bayesian Analysis Savage Award for her doctoral thesis.[30][31] She was awarded a National Science Foundation CAREER Award to scale her machine learning techniques.[32][28]
References
- ^ a b Tamara Broderick publications indexed by Google Scholar
- ^ a b Tamara Broderick at the Mathematics Genealogy Project
- ^ a b c d e "Alumni Profile: Tamara Broderick" (PDF). princeton.edu. Retrieved 2018-12-27.
- ^ "Laurel School | Alumnae | Distinguished Alumna Award Recipients". laurelschool.org. Retrieved 2018-12-27.
- ^ "Woman in technology". news.mit.edu. Retrieved 2018-12-27.
- ^ "January 2007 Prizes and Awards" (PDF). MAA. Retrieved 2018-12-27.
- ^ a b "MIT School of Engineering | » Tamara Broderick". engineering.mit.edu. MIT Engineering. Retrieved 2018-12-27.
- ^ Brinkmann, Jonathan; Seljak, Uroš; Broderick, Tamara; Hirata, Christopher M.; Mandelbaum, Rachel (2006). "Ellipticity of dark matter haloes with galaxy–galaxy weak lensing". Monthly Notices of the Royal Astronomical Society. 370 (2): 1008–1024. arXiv:astro-ph/0507108. Bibcode:2006MNRAS.370.1008M. doi:10.1111/j.1365-2966.2006.10539.x. ISSN 0035-8711.
{{cite journal}}
: CS1 maint: unflagged free DOI (link) - ^ Cambridge, research in physics from the University of; California, an MS in computer science from the University of; uncertainty, Berkeley Sessions Bayesian machine learning: Quantifying; Learning, robustness at scale Machine; star, Data Science Location: 1A 06/07 Level: Intermediate Secondary topics: Hardcore Data Science Tamara BroderickAverage. "Speaker: Tamara Broderick: Big data conference: Strata Data Conference, September 25 - 28, 2017, New York, NY". conferences.oreilly.com. Retrieved 2018-12-27.
{{cite web}}
: CS1 maint: numeric names: authors list (link) - ^ a b "Speaker: Tamara Broderick: Big data conference: Strata Data Conference, September 25 - 28, 2017, New York, NY". conferences.oreilly.com. Retrieved 2018-12-27.
- ^ "Nomon: Efficient communication with a single switch" (PDF). MIT. Retrieved 2018-12-27.
- ^ "Tamara Broderick". tamarabroderick.com. Retrieved 2018-12-27.
- ^ Broderick, Tamara Ann (2014). Clusters and Features from Combinatorial Stochastic Processes (PhD thesis). University of California, Berkeley. OCLC 919405382.
- ^ a b "Rising Stars in EECS | UC Berkeley". eecs.berkeley.edu. Retrieved 2018-12-27.
- ^ "Speakers". machine-intelligence-summit.com. Machine Intelligence Summit. Retrieved 2018-12-27.
- ^ "Google Faculty Research Awards 2016" (PDF). services.google.com. Retrieved 2018-12-27.
- ^ "Tamara Broderick receives prestigious Army Research Office award | MIT EECS". eecs.mit.edu. Retrieved 2018-12-27.
- ^ "Two EECS faculty members receive 2018 Sloan Research Fellowships | MIT EECS". eecs.mit.edu. Retrieved 2018-12-27.
- ^ "2018 Fellows". sloan.org. Retrieved 2018-12-27.
- ^ "American Mathematical Society". ams.org. Retrieved 2018-12-27.
- ^ "Massachusetts Institute of Technology". sloan.org. Retrieved 2018-12-27.
- ^ Harvard Institute for Applied Computational Science, Women in Data Science (2018): Tamara Broderick, MIT, retrieved 2018-12-27
- ^ Steven Van Vaerenbergh, Tamara Broderick: Variational Bayes and Beyond: Bayesian Inference for Big Data (ICML 2018 tutorial), retrieved 2018-12-27
- ^ "CSML Masterclass with Tamara Broderick". cs.ucl.ac.uk. Retrieved 2018-12-27.
- ^ "CSML Masterclass". tamarabroderick.com. Retrieved 2018-12-27.
- ^ "AI.Reverie". AI. Reverie. Retrieved 2018-12-27.
- ^ "Tamara Broderick, PhD". Retrieved 2018-12-27.
- ^ a b "NSF Award Search: Award#1750286 - CAREER: Robust, scalable, reliable machine learning". nsf.gov. Retrieved 2018-12-27.
- ^ "Tamara Broderick". tamarabroderick.com. Retrieved 2018-12-27.
- ^ "Student Departmental Awards | Department of Statistics". statistics.berkeley.edu. Retrieved 2018-12-27.
- ^ "Savage Award | International Society for Bayesian Analysis". Retrieved 2018-12-27.
- ^ "News | Tamara Broderick receives 2018 NSF CAREER Award". stat.mit.edu. Retrieved 2018-12-27.