Aura
Data Scientist
Apr 2024 – Mar 2026
Behavioral analysis of large-scale activity and transactional data for child online safety and fraud detection. Pipelines for monitoring behavioral signals and real-time safety alerts.
Data Scientist · ML Researcher
I'm a data scientist and ML researcher with 4+ years of industry experience (Aura, DraftKings), working on behavioral modeling, recommendation systems, and ML infrastructure. I now study how people interact with technology, and what those interactions can tell us about wellbeing, behavior, and AI safety.
Currently a graduate researcher in Stanford's Autonomous Agents Lab with Nick Haber, and an Accel Leaders Program Fellow.
Selected industry work
DraftKings
Senior Data Science Engineer · Data Science Engineer
Jan 2022 – Mar 2024
Collaborative filtering and hybrid recommendation models for personalized sports content. MLflow pipelines for model lifecycle; led migration of ML systems to Amazon EKS.
Full history on the CV.
Current research
- Master's thesis. Evaluating digital interventions for adolescent screen time using longitudinal smartphone logs and mixed-effects models.
- SPIRALS / DelusionEval. Evaluating LLM safety behavior in mental-health-sensitive conversations.
- Screenome Project. Modeling depressive symptom trajectories from 100M+ smartphone screenshots.