Each year, the Berkeley Artificial Intelligence Research (BAIR) Institute produces some of the most talented and innovative minds in artificial intelligence and machine learning. Our Dr. Each of our graduates has expanded the horizons of AI research and is now ready to embark on new adventures in academia, industry, and beyond.
These fantastic individuals have a wealth of knowledge, fresh ideas, and a drive to continuously contribute to the advancement of AI. From deep learning, robotics, and natural language processing to computer vision, security, and more, their work at BAIR has contributed significantly to the field and had a transformative impact on society.
This website is dedicated to introducing our peers to academic institutions, research institutions, and industry leaders to make it easier for them to discover and recruit the latest generation of AI pioneers. Here you can find detailed profiles, research interests and contact information for each graduate. We invite you to explore the potential collaborations and opportunities these graduates present as they seek to apply their expertise and insights in a new environment.
Join us in celebrating the achievements of BAIR’s latest PhD graduates. Their journey has just begun, and the future is bright for them to help!
Thanks to our friends at Stanford AI Lab for this idea!
email: salam_azad@berkeley.edu
Website: https://www.azadsalam.org/
torture: Ion Stoica
Study Advertisement: My research interests are mainly in the areas of machine learning and artificial intelligence. During my PhD, I focused on environment generation/curriculum learning methods for training autonomous agents through reinforcement learning. In particular, we study how to algorithmically generate different training environments (i.e. learning scenarios) for autonomous agents to improve generalization and sample efficiency. Currently, I am researching autonomous agents based on Large Language Model (LLM).
Job Interest: Research Scientist, ML Engineer
email: aliciatsai@berkeley.edu
Website: https://www.aliciatsai.com/
torture: Laurent L Scissors
Study Advertisement: My research explores the theoretical aspects of deep implicit models, starting with a unified “state space” representation that simplifies the notation. My work also explores a variety of training problems related to deep learning, including those applicable to convex and non-convex optimization. In addition to theoretical exploration, my research extends potential applications to a variety of problem areas, including natural language processing and natural sciences.
Job Interest: Research Scientist, Applied Scientist, Machine Learning Engineer
email: catherine22@berkeley.edu
Website: https://cwj22.github.io
torture: Masayoshi Tomizuka, Weizan
Study Advertisement: My research focuses on machine learning and control algorithms for the challenging task of autonomous racing in Gran Turismo Sport. I will leverage my background in mechanical engineering to learn how to create safe, high-performance control systems for robotics and autonomous systems through machine learning and model-based optimal control. My particular emphasis was on how to leverage offline datasets (e.g. race trajectories of human players) to inform better sample-efficient control algorithms.
Job Interest: Research Scientist and Robotics/Controls Engineer
email: chawin.sitawarin@gmail.com
Website: https://chawins.github.io/
torture: David Wagner
Study Advertisement: I have a broad interest in security and safety aspects of machine learning systems. Most of the previous work is in the area of adversarial machine learning, especially on adversarial examples and the robustness of machine learning algorithms. Recently, new security and privacy risks have emerged in large-scale language models.
Job Interest: research scientist
email: eko@berkeley.edu
Website: https://www.elizakosoy.com/
torture: Allison Gopnik
Study Advertisement: Eliza Kosoy works at the intersection of child development and AI with Professor Alison Gopnik. Her work includes creating assessment benchmarks for LLMs based on child development and studying how children and adults use and form mental models of GenAI models such as ChatGPT/Dalle. She is an intern at Google, working on the AI/UX team and previously worked at Empathy Lab. She has published papers in Neurips, ICML, ICLR, Cogsci, and Cognition. In her thesis work, she created an integrated virtual environment for testing children and AI models in one place for the purpose of training RL models. She also has experience building startups and STEM hardware coding toys.
Job Interest: Research Scientist (Child Development and AI), AI Safety (Specializing in Children), User Experience (UX) Researcher (Specializing in Mixed Methods, Youth, AI, LLM), Education and AI (STEM Toys)
email: fangyuwu@berkeley.edu
Website: https://fangyuwu.com/
torture: Alexandre Bayen
Study Advertisement: Under the mentorship of Professor Alexandre Bayen, Fangyu focuses on applying optimization methods to the planning and control of multi-agent robotic systems, especially automated vehicles.
Job Interest: Professor or research scientist in control, optimization and robotics
email: frances@berkeley.edu
Website: https://www.francesding.com/
torture: Jacob Steinhardt, Moritz Hart
Study Advertisement: My research focus is machine learning for protein modeling. I work on improving protein characterization and protein design, and understanding what different protein models are learning. I have previously worked on sequence models for DNA and RNA and on benchmarks to evaluate the interpretability and fairness of ML models across multiple domains.
Job Interest: research scientist
email: kathyjang@gmail.com
Website: https://kathyjang.com
torture: Alexandre Bayen
Study Advertisement: My thesis work specializes in reinforcement learning for autonomous vehicles, focusing on improving decision-making and efficiency in applied environments. In future work, we would like to apply these principles to a broader range of problems across domains such as natural language processing. Based on my background, my goal is to see the direct impact of my efforts by contributing to innovative AI research and solutions.
Job Interest: ML Research Scientist/Engineer
email: nikhil_ghosh@berkeley.edu
Website: https://nikhil-ghosh-berkeley.github.io/
torture: Bin Yu, Song Mei
Study Advertisement: I am interested in using both theoretical and empirical methodologies to develop a better fundamental understanding of deep learning and improve real-world systems. Currently, we are particularly interested in increasing the efficiency of large models by studying how to scale hyperparameters appropriately according to model size.
Job Interest: research scientist
email: oliviawatkins@berkeley.edu
Website: https://aliengirlliv.github.io/oliviawatkins
torture: Pieter Abbeel and Trevor Darrell
Study Advertisement: My work includes RL, BC, learning from humans, and using common sense-based model inference for agent learning. I'm very excited about language agent training, supervision, alignment, and robustness.
Job Interest: research scientist
email: rcao@berkeley.edu
Website: https://rmcao.net
torture: Laura Waller
Study Advertisement: My research concerns computational imaging, especially spatiotemporal modeling for dynamic scene recovery and motion estimation. We are also working on optical microscopy technology, optimization-based optical design, event camera processing, and new view rendering.
Job Interest: Research Scientists, Postdocs, Faculty
email: ryanhoque@berkeley.edu
Website: https://ryanhoque.github.io
torture: Ken Goldberg
Study Advertisement: Imitation learning and reinforcement learning algorithms that scale to large fleets of robots performing manipulation and other complex tasks.
Job Interest: research scientist
email: sdt@berkeley.edu
Website: https://www.qxcv.net/
torture: Stuart Russell
Study Advertisement: My research focuses on making language models safe, robust, and secure. He also has experience in vision, planning, imitation learning, reinforcement learning, and reward learning.
Job Interest: research scientist
email: shishirpatil2007@gmail.com
Website: https://shishirpatil.github.io/
torture: Joseph Gonzalez
Study Advertisement: Gorilla LLM – Teach LLMs how to use the tools (https://gorilla.cs.berkeley.edu/) LLM Execution Engine: Ensures reversibility, robustness, and blast radius minimization of LLM agents integrated into user and enterprise workflows. POET: Memory binding and energy-efficient fine-tuning of LLMs on edge devices such as smartphones and laptops (https://poet.cs.berkeley.edu/).
Job Interest: research scientist
email: spetryk@berkeley.edu
Website: https://suziepetryk.com/
torture: Trevor Darrell, Joseph Gonzalez
Study Advertisement: I work on improving the reliability and safety of multimodal models. I focused on measuring and using uncertainty and mitigating bias while localizing and reducing hallucinations for vision + language models. My interest lies in applying solutions to these challenges in real production scenarios, not just in academic settings.
Job Interest: Applied research scientist in the fields of generative AI, safety, and/or accessibility.
email: xingyu@berkeley.edu
Website: https://xingyu-lin.github.io/
torture: peter abel
Study Advertisement: My research is in robotics, machine learning and computer vision with the main goal of learning generalizable robotics skills from two angles. (1) Learn a structured world model through spatial and temporal abstractions. (2) Pre-training of visual representations and technologies to enable knowledge transfer from Internet-scale vision datasets and simulators.
Job Interest: Faculty member or research scientist
email: yyu@eecs.berkeley.edu
Website: https://yaodongyu.github.io/
torture: Michael I. Jordan, forehead
Study Advertisement: My research interests lie broadly in the theory and practice of reliable machine learning, including interpretability, privacy, and robustness.
Job Interest: department