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General information
| Full Name | Christopher Tosh |
Education
-
2012 – 2018
Doctor of Philosophy, Computer Science
University of California, San Diego
- Advisor: Sanjoy Dasgupta
- Dissertation: Algorithms for statistical and interactive learning tasks
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2008 – 2012
Bachelor of Science, Computer Science and Mathematics
University of Texas at Austin
Academic appointments
-
2021 – Present
Associate Research Scientist
Memorial Sloan Kettering Cancer Center
- Supervisor: Wesley Tansey
-
2018 – 2021
Postdoctoral Research Scientist
Columbia University
- Supervisor: Daniel Hsu
Honors and Awards
-
2012
- NSF Graduate Research Fellowship
- Williams Scholar, University of Texas at Austin, Department of Mathematics
- Phi Beta Kappa
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2008–2012
- University Honors 2008–2012, University of Texas at Austin
Professional service
-
Co-organizer
- Columbia TRIPODS 2018 Data Science Bootcamp
- Columbia TRIPODS 2019 Deep Learning Workshop
-
Program committee/Reviewer
- Journal of Machine Learning Research (JMLR)
- Association for the Advancement of Artificial Intelligence (AAAI)
- International Conference on Artificial Intelligence and Statistics (AISTATS)
- International Conference on Algorithmic Learning Theory (ALT)
- Conference on Learning Theory (COLT)
- IEEE Symposium on Foundations of Computer Science (FOCS)
- International Conference on Machine Learning (ICML)
- Neural Information Processing Systems (NeurIPS)
- Conference on Uncertainty in Artificial Intelligence (UAI)
Teaching experience
-
2019
Lecturer
Columbia University
- COMS 3203: Discrete Mathematics
-
2016 – 2018
Teaching assistant
UC San Diego
- CSE 20: Discrete Mathematics
- CSE 151: Machine Learning (Undergraduate)
- CSE 250B: Machine Learning (Graduate)
Consulting experience
-
2018
Machine learning consultant
NTENT
-
2016 – 2018
Machine learning consultant
QubitCrunch LLC