Yearly, the Berkeley Synthetic Intelligence Analysis (BAIR) Lab graduates among the most gifted and modern minds in synthetic intelligence and machine studying. Our Ph.D. graduates have every expanded the frontiers of AI analysis and at the moment are able to embark on new adventures in academia, trade, and past.
These incredible people deliver with them a wealth of information, recent concepts, and a drive to proceed contributing to the development of AI. Their work at BAIR, starting from deep studying, robotics, and pure language processing to pc imaginative and prescient, safety, and far more, has contributed considerably to their fields and has had transformative impacts on society.
This web site is devoted to showcasing our colleagues, making it simpler for educational establishments, analysis organizations, and trade leaders to find and recruit from the most recent era of AI pioneers. Right here, you’ll discover detailed profiles, analysis pursuits, and call data for every of our graduates. We invite you to discover the potential collaborations and alternatives these graduates current as they search to use their experience and insights in new environments.
Be a part of us in celebrating the achievements of BAIR’s newest PhD graduates. Their journey is simply starting, and the longer term they are going to assist construct is vibrant!
Thanks to our pals on the Stanford AI Lab for this concept!
E-mail: [email protected]
Web site: https://www.azadsalam.org/
Advisor(s): Ion Stoica
Analysis Blurb: My analysis curiosity lies broadly within the area of Machine Studying and Synthetic Intelligence. Throughout my PhD I’ve centered on Setting Technology/ Curriculum Studying strategies for coaching Autonomous Brokers with Reinforcement Studying. Particularly, I work on strategies that algorithmically generates various coaching environments (i.e., studying situations) for autonomous brokers to enhance generalization and pattern effectivity. Presently, I’m engaged on Massive Language Mannequin (LLM) primarily based autonomous brokers.
Jobs In: Analysis Scientist, ML Engineer
E-mail: [email protected]
Web site: https://www.aliciatsai.com/
Advisor(s): Laurent El Ghaoui
Analysis Blurb: My analysis delves into the theoretical elements of deep implicit fashions, starting with a unified “state-space” illustration that simplifies notation. Moreover, my work explores varied coaching challenges related to deep studying, together with issues amenable to convex and non-convex optimization. Along with theoretical exploration, my analysis extends the potential purposes to varied drawback domains, together with pure language processing, and pure science.
Jobs In: Analysis Scientist, Utilized Scientist, Machine Studying Engineer
E-mail: [email protected]
Web site: https://cwj22.github.io
Advisor(s): Masayoshi Tomizuka, Wei Zhan
Analysis Blurb: My analysis focuses on machine studying and management algorithms for the difficult activity of autonomous racing in Gran Turismo Sport. I leverage my background in Mechanical Engineering to find how machine studying and model-based optimum management can create protected, high-performance management programs for robotics and autonomous programs. A selected emphasis of mine has been learn how to leverage offline datasets (e.g. human participant’s racing trajectories) to tell higher, extra pattern environment friendly management algorithms.
Jobs In: Analysis Scientist and Robotics/Controls Engineer
E-mail: [email protected]
Web site: https://chawins.github.io/
Advisor(s): David Wagner
Analysis Blurb: I’m broadly serious about the safety and security elements of machine studying programs. Most of my earlier works are within the area of adversarial machine studying, notably adversarial examples and robustness of machine studying algorithms. Extra just lately, I’m enthusiastic about rising safety and privateness dangers on massive language fashions.
Jobs In: Analysis scientist
E-mail: [email protected]
Web site: https://www.elizakosoy.com/
Advisor(s): Alison Gopnik
Analysis Blurb: Eliza Kosoy works on the intersection of kid improvement and AI with Prof. Alison Gopnik. Her work contains creating evaluative benchmarks for LLMs rooted in youngster improvement and finding out how kids and adults use GenAI fashions similar to ChatGPT/Dalle and kind psychological fashions about them. She’s an intern at Google engaged on the AI/UX crew and beforehand with the Empathy Lab. She has revealed in Neurips, ICML, ICLR, Cogsci and cognition. Her thesis work created a unified digital setting for testing kids and AI fashions in a single place for the needs of coaching RL fashions. She additionally has expertise constructing startups and STEM {hardware} coding toys.
Jobs In: Analysis Scientist (youngster improvement and AI), AI security (specializing in kids), Person Expertise (UX) Researcher (specializing in blended strategies, youth, AI, LLMs), Training and AI (STEM toys)
E-mail: [email protected]
Web site: https://fangyuwu.com/
Advisor(s): Alexandre Bayen
Analysis Blurb: Below the mentorship of Prof. Alexandre Bayen, Fangyu focuses on the applying of optimization strategies to multi-agent robotic programs, notably within the planning and management of automated automobiles.
Jobs In: School, or analysis scientist in management, optimization, and robotics
E-mail: [email protected]
Web site: https://www.francesding.com/
Advisor(s): Jacob Steinhardt, Moritz Hardt
Analysis Blurb: My analysis focus is in machine studying for protein modeling. I work on bettering protein property classification and protein design, in addition to understanding what totally different protein fashions study. I’ve beforehand labored on sequence fashions for DNA and RNA, and benchmarks for evaluating the interpretability and equity of ML fashions throughout domains.
Jobs In: Analysis scientist
E-mail: [email protected]
Web site: https://kathyjang.com
Advisor(s): Alexandre Bayen
Analysis Blurb: My thesis work has specialised in reinforcement studying for autonomous automobiles, specializing in enhancing decision-making and effectivity in utilized settings. In future work, I am keen to use these rules to broader challenges throughout domains like pure language processing. With my background, my purpose is to see the direct impression of my efforts by contributing to modern AI analysis and options.
Jobs In: ML analysis scientist/engineer
E-mail: [email protected]
Web site: https://nikhil-ghosh-berkeley.github.io/
Advisor(s): Bin Yu, Music Mei
Analysis Blurb: I’m serious about growing a greater foundational understanding of deep studying and bettering sensible programs, utilizing each theoretical and empirical methodology. Presently, I’m particularly serious about bettering the effectivity of huge fashions by finding out learn how to correctly scale hyperparameters with mannequin dimension.
Jobs In: Analysis Scientist
E-mail: [email protected]
Web site: https://aliengirlliv.github.io/oliviawatkins
Advisor(s): Pieter Abbeel and Trevor Darrell
Analysis Blurb: My work includes RL, BC, studying from people, and utilizing common sense basis mannequin reasoning for agent studying. I’m enthusiastic about language agent studying, supervision, alignment & robustness.
Jobs In: Analysis scientist
E-mail: [email protected]
Web site: https://rmcao.internet
Advisor(s): Laura Waller
Analysis Blurb: My analysis is on computational imaging, notably the space-time modeling for dynamic scene restoration and movement estimation. I additionally work on optical microscopy strategies, optimization-based optical design, occasion digital camera processing, novel view rendering.
Jobs In: Analysis scientist, postdoc, school
E-mail: [email protected]
Web site: https://ryanhoque.github.io
Advisor(s): Ken Goldberg
Analysis Blurb: Imitation studying and reinforcement studying algorithms that scale to massive robotic fleets performing manipulation and different complicated duties.
Jobs In: Analysis Scientist
E-mail: [email protected]
Web site: https://www.qxcv.internet/
Advisor(s): Stuart Russell
Analysis Blurb: My analysis focuses on making language fashions safe, strong and protected. I even have expertise in imaginative and prescient, planning, imitation studying, reinforcement studying, and reward studying.
Jobs In: Analysis scientist
E-mail: [email protected]
Web site: https://shishirpatil.github.io/
Advisor(s): Joseph Gonzalez
Analysis Blurb: Gorilla LLM – Instructing LLMs to make use of instruments (https://gorilla.cs.berkeley.edu/); LLM Execution Engine: Guaranteeing reversibility, robustness, and minimizing blast-radius for LLM-Brokers included into consumer and enterprise workflows; POET: Reminiscence certain, and power environment friendly fine-tuning of LLMs on edge units similar to smartphones and laptops (https://poet.cs.berkeley.edu/).
Jobs In: Analysis Scientist
E-mail: [email protected]
Web site: https://suziepetryk.com/
Advisor(s): Trevor Darrell, Joseph Gonzalez
Analysis Blurb: I work on bettering the reliability and security of multimodal fashions. My focus has been on localizing and decreasing hallucinations for imaginative and prescient + language fashions, together with measuring and utilizing uncertainty and mitigating bias. My pursuits lay in making use of options to those challenges in precise manufacturing situations, moderately than solely in educational environments.
Jobs In: Utilized analysis scientist in generative AI, security, and/or accessibility
E-mail: [email protected]
Web site: https://xingyu-lin.github.io/
Advisor(s): Pieter Abbeel
Analysis Blurb: My analysis lies in robotics, machine studying, and pc imaginative and prescient, with the first objective of studying generalizable robotic expertise from two angles: (1) Studying structured world fashions with spatial and temporal abstractions. (2) Pre-training visible illustration and expertise to allow data switch from Web-scale imaginative and prescient datasets and simulators.
Jobs In: School, or analysis scientist
E-mail: [email protected]
Web site: https://yaodongyu.github.io/
Advisor(s): Michael I. Jordan, Yi Ma
Analysis Blurb: My analysis pursuits are broadly in principle and observe of reliable machine studying, together with interpretability, privateness, and robustness.
Jobs In: School