Alyssa Unell
Doctoral Researcher at Stanford University
Scottsdale, Arizona, United States
Summary
🤩
Rockstar🎓
Top SchoolAlyssa Unell is a Stanford CS doctoral researcher focused on data-centric AI and trustworthy evaluation of medical AI systems, co-advised by Nigam Shah and Sanmi Koyejo. With six years of research experience spanning MIT, EPFL, Intel, and TGen, she blends computational cognition, medical data, and robust ML methods to improve model reliability in low-data healthcare settings. Her internships include evaluating calibration for real-world evidence at Microsoft and profiling large-scale recommender workflows at Intel, reflecting both experimental rigor and production-oriented debugging. Early work on biologically inspired noise and MRI reconstruction shows a knack for connecting neuroscience-inspired ideas to practical robustness gains. Based in Scottsdale, AZ, she combines strong software tooling (TensorFlow/Keras, R, Unix) with a track record of shipping reproducible research and open-source contributions to decentralized learning tools.
6 years of coding experience
4 years of employment as a software developer
Bachelor's of Science in Computational Cognition, Bachelor's of Science in Computational Cognition at Massachusetts Institute of Technology
Spanish
Stackoverflow
13reputation
1kreached
0answers
1question
Github Skills (45)
evaluation10
transparency10
privacy-preserving10
arxiv10
distributed-computing9
browser9
natural-language-processing9
privacy-enhancing-technologies9
helm9
federated-learning9
differential-privacy9
data-privacy9
nlp9
federated8
bert8
Programming languages (4)
Github contributions (5)
aunell/aunell.github.io
Mar 2022 - Feb 2024
Contributions:43 pushes, 1 branch in 1 year 11 months
aunell/DevNoise
Jan 2021 - Feb 2022
Contributions:32 pushes, 1 branch in 1 year 1 month
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