Monica Thieu - Bio-X Undergraduate Fellow
Supported by: anonymous donor
Mentor: Anthony Wagner, Psychology
Home Department: Bioengineering
Faculty Advisor: Drew Endy
Talk Title: Engineered transmission of DNA messages among bacteria
Event: DNA18: The 18th International Conference on DNA Computing and Molecular Programming
Home Department: Neurosciences
Faculty Advisor: Amit Etkin
Talk Titles: Novel Brain Techniques to Optimize Plasticity Induction in Humans and Enhancing Scientific Rigor and Reproducibility: Are We Doing Better?
Event: 2018 Winter Conference on Brain Research
Awarded in 2019
Home Department: Neurosciences
Faculty Advisors: Amit Etkin (Psychiatry & Behavioral Sciences), Fei-Fei Li (Computer Science), and Russell Poldrack (Psychology)
With a primary focus on high-dimensional data, Dr. Mohammad Shahrokh Esfahani has significant expertise in developing machine learning tools. Much of his work involves constructing Bayesian models, which effectively convert 'prior knowledge', either inherent in the dataset or obtained from external sources, into mathematical terms—more specifically, prior probabilities.