Every year, we have a great set of SAIL graduates who are entering the job market soon (or already!) Each soon-to-be graduate has provided a brief description of their research; feel free to reach out if you have an opportunity.
Bernard Lange
Areas of Interest: Computer Vision, Empirical ML, NLP, Robotics, Statistical/Theoretical ML
Email: blange@stanford.edu
Advisor(s): Mykel Kochenderfer
Research Focus: Working on the foundational models for autonomous driving.
Jobs Interested In: Research Scientist
Charlie Marx
Areas of Interest: Computer Vision, NLP, Statistical/Theoretical ML
Email: ctmarx@stanford.edu
Advisor(s): Stefano Ermon
Research Focus: My research focuses on principled techniques for uncertainty quantification, automated decision-making, and deep generative modeling.
Jobs Interested In: Research Scientist
Claire Chen
Areas of Interest: Robotics
Email: clairech@stanford.edu
Advisor(s): Jeannette Bohg
Research Focus: Combining multi‑modal sensing, control, and machine learning to help robots interact with the world - particularly excited by contact-rich manipulation
Jobs Interested In: Research Scientist, Robotics Engineer
Hong Jun Jeon
Areas of Interest: Reinforcement Learning, Statistical/Theoretical ML
Email: hjjeon@stanford.edu
Advisor(s): Benjamin Van Roy
Research Focus: Developing Information-Theoretic tools to better understand the sample complexity of modern machine learning problems.
Jobs Interested In: Research Scientist
Kaitlyn Zhou
Areas of Interest: Human Centered and Creative AI, NLP, Responsible AI
Email: katezhou@stanford.edu
Advisor(s): Dan Jurafsky
Research Focus: I research the dynamics of human interaction with language models, focusing on how generated language shapes human decision-making, reliance, and trust.
Jobs Interested In: Faculty, Research Scientist
Kyle Hsu
Areas of Interest: Computer Vision, NLP, Reinforcement Learning
Email: kylehsu@cs.stanford.edu
Advisor(s): Chelsea Finn, Jiajun Wu
Research Focus: Disentangled representation learning of high-dimensional data for interpretability and safety.
Jobs Interested In: Research Scientist
Rishi Bommasani
Areas of Interest: Human Centered and Creative AI, NLP, Responsible AI
Email: nlprishi@stanford.edu
Advisor(s): Percy Liang, Dan Jurafsky
Research Focus: My research builds the foundations for AI policy.
Jobs Interested In: Faculty
Siddharth Karamcheti
Areas of Interest: NLP, Robotics
Email: skaramcheti@cs.stanford.edu
Advisor(s): Dorsa Sadigh, Percy Liang
Research Focus: My thesis focuses on language-driven learning for interactive robotics, using language a core component in building robots that can learn from and work with people.
Jobs Interested In: Faculty, Research Scientist
Sina Semnani
Areas of Interest: NLP
Email: sinaj@stanford.edu
Advisor(s): Monica Lam
Research Focus: My research focuses on the synergy between Large Language Model (LLM) agents and knowledge. Specifically, I work on teaching LLMs how to use external knowledge (free text and databases) to improve their reliability, while also improving the accuracy of knowledge corpora through their interaction with LLMs.
Jobs Interested In: Research Scientist, Machine Learning Engineer
Suneel Belkhale
Areas of Interest: NLP, Robotics, Reinforcement Learning
Email: belkhale@stanford.edu
Advisor(s): Dorsa Sadigh
Research Focus: I work on Embodied VLMs for robotics, specifically using language as a reasoning modality for large retrained models to learn to predict robot actions. Language-based action reasoning enables robot policies to scale better to diverse robot demonstration datasets, generalize better to unseen tasks, and to respond better to human feedback.
Jobs Interested In: Research Scientist
Weixin Liang
Areas of Interest: Computer Vision, NLP, Responsible AI
Email: wxliang@stanford.edu
Advisor(s): James Zou
Research Focus: Research Focus: Pre-training of Multi-Modal Large Language Models (LLMs), LLM Reasoning and Agents, Trustworthy LLMs, and Their Societal Impact
Jobs Interested In: Faculty, Post Doc, Research Scientist