Tom Minka is affiliated with Microsoft in the United States and has contributed to the fields of Computer Science, with specific focus on Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, and Developmental and Educational Psychology. Their research spans multiple interconnected areas within these disciplines.
Their work includes exploration of Optimal Experimental Design Methods, Statistical Methods in Clinical Trials, Behavioral and Psychological Studies, Topic Modeling, Bayesian Modeling and Causal Inference, and Natural Language Processing Techniques. This diverse range of topics reflects a multidisciplinary approach within the broader domain of computer science and applied statistics.
Tom Minka has co-authored research with several frequent collaborators, including Prathiba Natesan Batley, Larry V. Hedges, Cheng Zhang, Sebastian Bauer, and Paul N. Bennett. These collaborations indicate active participation in various research projects spanning experimental design, causal inference, and language modeling.
Their recent publications cover significant topics such as experimental design and causality using modern computational methods. Among the recent papers are:
Tom Minka's contributions have appeared in venues including Behavior Research Methods and arXiv (Cornell University), reflecting engagement both with established journals and preprint archives that support rapid dissemination of research.
Thomas P. Minka
Thomas P. Minka;Rosalind Picard
J. Winn;A. Criminisi;T. Minka
I.J. Cox;M.L. Miller;T.P. Minka;T.V. Papathomas
Thomas P. Minka
Ralf Herbrich;Tom Minka;Thore Graepel
Thomas P. Minka;Rosalind W. Picard
C. Rother;T. Minka;A. Blake;V. Kolmogorov
Thomas P. Minka
Galit Shmueli;Thomas P. Minka;Joseph B. Kadane;Sharad Borle
Thomas Minka
Souvik Sen;Božidar Radunovic;Romit Roy Choudhury;Tom Minka
Yi Zhang;Jamie Callan;Thomas Minka
Thomas Minka;John Lafferty
P.V. Gehler;C. Rother;A. Blake;T. Minka
J.A. Lasserre;C.M. Bishop;T.P. Minka
Michael Taylor;John Guiver;Stephen Robertson;Tom Minka
Tom Minka;Rosalind W. Picard
R. W. Picard;T. P. Minka
Thomas P. Minka
C Rother;TP Minka;A Blake;Kolmogorov
Tom Minka;John Winn
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens doors to a broad range of online degrees and career pathways. Many students pursue specialized fields such as data science, which is in high demand across industries. For those interested, it’s useful to review some of the top data science programs available online for flexible and affordable study options.
Career prospects aren’t limited to technology alone. Programs like the construction management degree online prepare graduates for leadership roles in building and infrastructure industries, leveraging tech skills in project management.
Broadening your expertise with an online mba programs can also boost your business acumen and open pathways to management-level careers, especially for those with a technical background in computer science.
For students seeking a fast track, explore the 1 year master's programs online that allow for quicker entry into the workforce. Each of these routes offers unique opportunities to combine computer science with practical industry knowledge for a competitive advantage.
Peking University
Keysight Technologies (United States)
University of Galway
University of Barcelona
Örebro University
SLAC National Accelerator Laboratory
Johnson & Johnson (United States)
Australian National University
KU Leuven
University of Utah
University of Colorado Denver
University Netgroup Inc.
Texas A&M University
Yale University
Duke University
Kyoto University
