AI Research Software Engineer @ Stanford HAI 🌲
I’m an AI software engineer and computer scientist working at the intersection of natural language processing, mental health, and human-centered AI. I collaborate with Stanford’s Institute for Human-Centered AI (HAI)—in the Computational Psychology and Well-Being Lab—and with Stony Brook University’s Human Language Analysis Beings (HLAB). I build evaluation-driven systems that make large language models safer and more useful in clinical training and public-health research. I co-organize SemEval 2026 Task 2 on predicting variation in emotional valence and arousal over time, leading dataset curation, evaluation scripts, and competition infrastructure. I lead engineering for TherapyTrainer, a voice-enabled simulation platform that combines retrieval-augmented generation (RAG), LLMs, and analytics to provide feedback to trainees and supervisors. I’m an active open-source contributor—I've modernized the Differential Language Analysis Toolkit (DLATK) and deployed multiple behavioral-analysis pipelines. My interests include trustworthy and multilingual LLMs, multimodal signals (text and audio), rigorous evaluation, and equitable access to evidence-based care. I hold a B.S. in Computer Science from Stony Brook University and have shipped full-stack products across research labs, hospitals, and startups.
I invite you to explore my coding journey on GitHub and connect with me for collaborative opportunities or tech conversations!
- 🌍 I'm based in Nashville, TN
- ✉️ You can contact me at [email protected]
- 🧠 I'm currently building the next AI innovation for health and well-being
- ⚡ Fun fact: I've traveled over 10 countries!
