Computer Science
Showing 601-700 of 888 Results
-
Anka Reuel
Ph.D. Student in Computer Science, admitted Autumn 2022
Current Research and Scholarly InterestsCompared to the technical advancements in AI, the area of technical AI ethics is significantly understudied. Novel, complex autonomous systems are being developed without devoting enough time to their potential negative implications and how they can be mitigated. Given the increasing use of such systems throughout society, this discrepancy sparked Anka's interest in contributing to research in responsible AI, both from a technical and a governance perspective.
-
Sebastian Alexander Russo
Masters Student in Computer Science, admitted Autumn 2022
BioI'm studying computer science and other cool stuff!
-
Jon Saad-Falcon
Ph.D. Student in Computer Science, admitted Summer 2023
BioCheck out my personal website for more information: https://jonsaadfalcon.com/
-
Aadesh Salecha
Masters Student in Computer Science, admitted Autumn 2024
BioAadesh Salecha is a computer scientist who works on integrating Artificial Intelligence and Psychology. He graduated from the University of Minnesota, where he worked with Prof. Jaideep Srivastava on misinformation spread and its mitigation mechanisms. At Stanford, he works with Prof. Johannes Eichsteadt on using cognitive psychology and psychometrics to understand bias development in Large Language Models. He is also collaborating the effort on the creation of new-age psychological interventions using AI to democratize access and improve personalization and retention. His work is focused on using computational methods for societal good by facilitating the measurement and causal analysis of population health metrics like drug abuse, subjective-wellbeing, etc.
-
Yash Shah
Ph.D. Student in Computer Science, admitted Autumn 2025
Current Research and Scholarly InterestsMy research interests lie in developing neuroconnectionist mechanistic models of the brain that deepen our understanding of neural computation and representations. I aim to explore how physiological and anatomical constraints shape cortical topography and, in turn, scaffold development. I am particularly intrigued by observing certain behaviors emerge from mechanistic models, even when the model was not optimized to do so.
