Domains of Inquiry (Discussion Sections)
See Canvas for locations and times
Section # | Mentor Name | Domain Topic |
---|---|---|
A01 | Aaron Fraenkel | Fair Policing |
A02 | Jingbo Shang | Text Mining and NLP |
A03 | Rajesh K. Gupta | Blockchain / Smart-Contracts |
A04 | Rose Yu | spatiotemporal machine learning |
A05 | Jelena Bradic | High-dimensional Statistical Learning, Causal Inference, Robust ML, Fair ML |
A06 | Yian Ma | Machine Learning (TBA) |
A07 | Ilkay Altintas | Wildfire and Environmental Data Analysis |
A08 | Peter Gerstoft | Machine learning for physical systems |
A09 | Ryan Kastner | Environmental Monitoring, remote sensing, cyber-physical systems, Engineers for Exploration |
A10 | Justin Eldridge | Spread of Misinformation Online |
A11 | Javier Duarte | Particle Physics |
A12 | Rayan Saab | Mathematical Signal Processing (compression of deep nets, or optimization for data-science/ML) |
A13 | Gal Mishne | graph neural networks |
A14 | Molly Roberts | NLP, Misinformation |
A15 | Lily Weng | AI in Healthcare, Deep Reinforcement Learning, Trustworthy Machine Learning |
A16 | Armin Schwartzman | Satellite image analysis |
B01 | Berk Ustun | ML for Finance, ML for Healthcare, Fair ML, ML for Science |
B02 | Stuart Geiger | Social media; online communities; text analysis; ethics |
B03 | Yusu Wang | Analyzing single cell multimodality data via (coupled) autoencoder neural networks |
B04 | Zhiting Hu | Machine Learning, Natural Language Processing |
B05 | Alex Cloninger, Deloitte | Activity Based Travel Models and Feature Selection |
B06 | Babak Salimi | Explainable AI, Causal Inference |
B07 | Arun Kumar | AutoML Platforms |
B08 | Misha Belkin | AI/ML |
B09 | Arya Mazumdar | Group Testing for Optimizing COVID-19 Testing |
B10 | David Danks | Causal Discovery |
B11 | Benjamin Smarr | Time series analysis in health |
B12 | Jennifer Burney | Environmental health exposures & pollution modeling & land-use change dynamics |
B13 | Viasat | Network Performance Classification |
B14 | Intel | System Usage Reporting |