Dr. Richard H. Lathrop --- Students



Dr. Nick Steffen, then Dr. Lathrop's graduate student, and Anton Sazhin and Ye Sun, then Dr. Lathrop's graduate students co-advised with Dr. Irani, shared in the Genome Informatics Conference Best Paper Award.


Dr. Nick Steffen, then Dr. Lathrop's graduate student, and Sophia Deeds-Rubin and Miriam Raphael, then Dr. Lathrop's undergraduate students, shared in the AAAI/IAAI Innovative Application Award and the cover article of AI Magazine.


Dr. Mac Casale, then Dr. Lathrop's graduate student co-advised with Dr. Eppstein, won the Best Student Presentation award at the Intelligent Systems for Molecular Biology Conference.


Dr. Sam Danziger, then Dr. Lathrop's graduate student, developed the Most Informative Positive (MIP) active machine learning system that performed at a level statistically indistinguishable from a human expert cancer biologist at the task of predicting novel p53 cancer mutant genetic reactivation regions.


Dr. Chris Wassman, then Dr. Lathrop's graduate student, discovered the L1/S3 binding pocket for p53 cancer mutant reactivation by small drug-like molecules.


Dr. Faezeh Salehi, then Dr. Lathrop's graduate student, developed a high-throughput method for p53 cancer mutant reactivation by genetic reactivation..


Max Ho, David Inglish, Dong Le, Thuan (Tim) Quoc Truong, Alex Van Buskirk, and Sean King, then Dr. Lathrop's undergraduate students, wrote the teaching software used in Dr. Lathrop's course CS-171, "Introduction to Artificial Intelligence." Dr. Lathrop has ongoing independent study opportunities for other undergraduates interested in developing innovative software for teaching AI. Prerequisite: a grade of "A-" or better in CS-171.



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