Sotabase

Career

· PhD in Computer Science, University of California, Berkeley2025–
· Research Intern, FATE Montréal, Microsoft Research2024–
· PhD in Computer Science, Cornell University2022–2024
· Research Intern, Siri, Apple2021–
· Research Intern, Genomics, NVIDIA2020–
· Research Intern, Genesis Therapeutics2019–
· B.S., Computer Science, Massachusetts Institute of Technology2018–2022
· Graduate Student, The Scripps Research Institute2018–2019

Publications (24)

In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data
Scientific Reports · 2019
91
cited
Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays
bioRxiv · 2018
84
cited
Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection
Conference on Fairness, Accountability and Transparency · 2022
72
cited
Coarse race data conceals disparities in clinical risk score performance
Machine Learning in Health Care · 2023
33
cited
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers
North American Chapter of the Association for Computational Linguistics · 2024
24
cited
Annotation alignment: Comparing LLM and human annotations of conversational safety
Conference on Empirical Methods in Natural Language Processing · 2024
21
cited
Accelerating single-cell genomic analysis with GPUs
bioRxiv · 2022
20
cited
Sparse Autoencoders for Hypothesis Generation
International Conference on Machine Learning · 2025
16
cited
Generative Artificial Intelligence in Medicine.
Annual Review of Biomedical Data Science · 2025
13
cited
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP · 2020
12
cited
Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts
arXiv.org · 2025
12
cited
Using large language models to promote health equity
2023
10
cited
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks
International Conference on Computational Linguistics · 2022
7
cited
Generative AI in Medicine
arXiv.org · 2024
3
cited
Studying the Consistency and Composability of Lottery Ticket Pruning Masks
arXiv.org · 2021
3
cited
Using unlabeled data to enhance fairness of medical AI
Nature Network Boston · 2024
3
cited
Fairness Deconstructed: A Sociotechnical View of 'Fair' Algorithms in Criminal Justice
arXiv.org · 2021
1
cited
Public Opinion on Use of Race in Clinical Algorithms
JAMA Internal Medicine · 2025
1
cited
What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data
arXiv.org · 2025
1
cited
Coarse race data conceals disparities in clinical risk score model performance
2023
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Rajiv Movva | Researcher Profile | Sotabase | Sotabase