Danielle Rothermel
PHD Student at New York University
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolDanielle Rothermel is an ML-focused PhD student at NYU with eight years of industry and research engineering experience bridging production systems and fundamental research. After earning dual degrees in Computer Science and Engineering Physics from Brown, she spent seven years at Facebook/FAIR advancing location-based machine learning products and research tools. Her work blends practical product engineering with rigorous research—she moved from building check-in prediction features to solving out-of-domain generalization problems in academic settings. Danielle has a strong experimental background across simulation, computational biology, and optics, reflecting an ability to bring diverse scientific methods to ML problems. Based in New York, she thrives in collaborative environments and enjoys tackling underexplored robustness challenges that sit between real-world systems and theoretical ML.
8 years of coding experience
12 years of employment as a software developer
Bachelor of Science Computer Science and Engineering Physics, Bachelor of Science Computer Science and Engineering Physics at Brown University
Github Skills (27)
minecraft10
mahjong10
discord-bot10
virtual-assistant10
multiagent-systems10
nethack9
20489
game-ai9
mujoco9
q-learning9
reinforcement-learning8
sonic8
simulator7
robotics7
machine-learning7
Programming languages (7)
Github contributions (5)
drothermel/dr_gen
Jan 2025 - Mar 2025
Contributions:20 PRs, 126 pushes, 20 branches in 1 month
drothermel/dr_util
Apr 2024 - Feb 2025
Core python utils for ML research
Contributions:29 PRs, 67 pushes, 30 branches in 10 months
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