Annually, the Berkeley Institute for Synthetic Intelligence Analysis (BAIR) graduates a few of the most proficient and modern folks within the fields of synthetic intelligence and machine studying. Every of our PhD graduates has expanded the frontiers of AI analysis and is now able to embark on new adventures in academia, business, and past.
These superb folks convey a wealth of data, recent concepts, and a want to proceed contributing to the development of AI. Their work at BAIR has made vital contributions to fields starting from deep studying, robotics, and pure language processing to laptop imaginative and prescient, safety, and extra, and has had a transformative impression on society.
This web site is devoted to look discovery, making it simpler for educational, analysis, and business leaders to seek out and rent the newest era of AI pioneers. Right here you could find detailed profiles, analysis areas and phone data for every graduate. We invite you to discover the potential collaborations and alternatives introduced by graduates seeking to apply their experience and perception to new environments.
Be a part of us in celebrating the achievements of BAIR’s latest PhD graduates. Their journey has simply begun and the longer term they construct is vibrant!
I wish to thank my pals within the discipline Stanford AI Lab For this concept!
Electronic mail: salam_azad@berkeley.edu
Web site: https://www.azadsalam.org/
Advisor: Ion Stoic Squid
Analysis promotion: My analysis pursuits broadly lie within the fields of machine studying and synthetic intelligence. Throughout my PhD, I’ve targeted on atmosphere era/curriculum studying strategies for coaching autonomous brokers utilizing reinforcement studying. Particularly, we work on tips on how to algorithmically generate numerous coaching environments (i.e., studying situations) for autonomous brokers to enhance generalization and pattern effectivity. At present, I’m engaged on large-scale language mannequin (LLM) primarily based autonomous brokers.
Jobs I am curious about: Researcher, ML Engineer
Electronic mail: aliciatsai@berkeley.edu
Web site: https://www.aliciatsai.com/
Advisor: Laurent El Ghaoui
Analysis promotion: My analysis delves into the theoretical facets of deep implicit fashions, beginning with a unified “state area” illustration that simplifies the notation. Moreover, my analysis investigates varied coaching challenges associated to deep studying, together with these relevant to convex and non-convex optimization. Along with theoretical exploration, my analysis extends potential functions to a wide range of drawback areas, together with pure language processing and the pure sciences.
Jobs I am curious about: Researcher, Utilized Scientist, Machine Studying Engineer
Electronic mail: catherine22@berkeley.edu
Web site: https://cwj22.github.io
Advisor: Masayoshi Tomizuka, Wei Zhan
Analysis promotion: My analysis focuses on machine studying and management algorithms for the troublesome activity of autonomous racing in Gran Turismo SPORT. I exploit my background in mechanical engineering to find how machine studying and model-based optimum management can create protected, high-performance management techniques for robots and autonomous techniques. My explicit focus is on how offline datasets (e.g., human participant race trajectories) might be leveraged to offer higher and extra sample-efficient management algorithms.
Jobs I am curious about: Researcher and Robotics/Management Engineer
Electronic mail: chawin.sitawarin@gmail.com
Web site: https://chawins.github.io/
Advisor: david wagner
Analysis promotion: I’m broadly curious about safety and security facets of machine studying techniques. Most of my earlier analysis has been within the space of adversarial machine studying, particularly adversarial examples and the robustness of machine studying algorithms. Lately, I have been excited by the rising safety and privateness dangers in large-scale language fashions.
Jobs I am curious about: researcher
Electronic mail: eko@berkeley.edu
Web site: https://www.elisakosoy.com/
Advisor: Alison Gopnik
Analysis promotion: Eliza Kosoy works on the intersection of kid improvement and AI with Professor Alison Gopnik. Her work consists of creating evaluation benchmarks for her LLM which might be rooted in youngster improvement and the way youngsters and adults use her GenAI fashions reminiscent of ChatGPT/Dalle and kind psychological fashions about them. This consists of researching what to do. She is an intern at Google, engaged on the AI/UX crew, and beforehand she was a part of the Empathy Lab. She has revealed papers on her Neurips, ICML, ICLR, Cogsci, and cognition. In her thesis work, she created an built-in digital atmosphere for testing AI fashions with youngsters in her one location, for the aim of coaching RL fashions. She additionally has expertise constructing startups and her STEM {hardware} and her coding toys.
Jobs I am curious about: Analysis Scientist (Youngster Growth and AI), AI Security (Youngster Specialty), Person Expertise (UX) Researcher (Combined Strategies, Youth, AI, LLM Specialty), Schooling and AI (STEM Toys)
Electronic mail: fangyuwu@berkeley.edu
Web site: https://fangyuwu.com/
Advisor: Alexander Bayen
Analysis promotion: Beneath the route of Professor Alexandre Bayen, Fangyu focuses on making use of optimization methods to multi-agent robotic techniques, notably within the planning and management of autonomous autos.
Jobs I am curious about: School or researchers in management, optimization, and robotics
Electronic mail: frances@berkeley.edu
Web site: https://www.franceding.com/
Advisor: Jacob Steinhardt, Moritz Hart
Analysis promotion: My analysis focus is machine studying for protein modeling. I work on enhancing protein property classification and protein design, in addition to understanding what totally different protein fashions study. I’ve been engaged on benchmarks to evaluate the interpretability and equity of DNA and RNA sequence fashions and cross-domain ML fashions.
Jobs I am curious about: researcher
Electronic mail: kathyjang@gmail.com
Web site: https://kathyjang.com
Advisor: Alexander Bayen
Analysis promotion: My thesis analysis is restricted to reinforcement studying for self-driving vehicles, with a give attention to enhancing decision-making and effectivity in utilized settings. In future analysis, we hope to use these rules to broader challenges throughout areas reminiscent of pure language processing. Given my background, my purpose is to have a direct impression from my efforts by contributing to modern AI analysis and options.
Jobs I am curious about: ML Analysis Scientist/Engineer
Electronic mail: nikhil_ghosh@berkeley.edu
Web site: https://nikhil-ghosh-berkeley.github.io/
Advisor: Bin Yu, Tune Mei
Analysis promotion: I’m curious about deepening the basic understanding of deep studying and enhancing sensible techniques utilizing each theoretical and empirical methodologies. At present, I’m notably curious about enhancing the effectivity of huge fashions by investigating tips on how to correctly scale hyperparameters with mannequin dimension.
Jobs I am curious about: Researcher
Electronic mail: oliviawatkins@berkeley.edu
Web site: https://aliengirlliv.github.io/oliviawatkins
Advisor: Peter Abbeel and Trevor Darrell
Analysis promotion: My work includes utilizing widespread sense fundamental mannequin inference for RL, BC, studying from people, and agent studying. I am excited in regards to the studying, monitoring, tuning, and robustness of language brokers.
Jobs I am curious about: researcher
Electronic mail: rcao@berkeley.edu
Web site: https://rmcao.net
Advisor: laura waller
Analysis promotion: My analysis is in computational imaging, notably spatiotemporal modeling for dynamic scene restoration and movement estimation. We’re additionally engaged on optical microscopy methods, optimization-based optical design, occasion digicam processing, and new view rendering.
Jobs I am curious about: researchers, postdocs, school
Electronic mail: ryanhoque@berkeley.edu
Web site: https://ryanhoque.github.io
Advisor: ken goldberg
Analysis promotion: Imitation and reinforcement studying algorithms that may be scaled to giant swarms of robots performing manipulation and different complicated duties.
Jobs I am curious about: Researcher
Electronic mail: sdt@berkeley.edu
Web site: https://www.qxcv.net/
Advisor: stuart russell
Analysis promotion: My analysis focuses on making language fashions safe, strong, and safe. He additionally has expertise in imaginative and prescient, planning, imitation studying, reinforcement studying, and reward studying.
Jobs I am curious about: researcher
Electronic mail: shishirpatil2007@gmail.com
Web site: https://shishirpatil.github.io/
Advisor: joseph gonzalez
Analysis promotion: Gorilla LLM – Educate LLMs tips on how to use instruments (https://gorilla.cs.berkeley.edu/). LLM Execution Engine: Ensures reversibility, robustness, and minimizes explosion radius of LLM brokers embedded in consumer and enterprise workflows. POET: Reminiscence-limited and energy-efficient fine-tuning of his LLM on edge units reminiscent of smartphones and laptops (https://poet.cs.berkeley.edu/).
Jobs I am curious about: Researcher
Electronic mail: spetryk@berkeley.edu
Web site: https://suziepetryk.com/
Advisor: Trevor Darrell, Joseph Gonzalez
Analysis promotion: We’re working to enhance the reliability and security of multimodal fashions. My focus is on finding and mitigating illusions in visible + language fashions, together with measuring and utilizing uncertainty and mitigating bias. My curiosity lies in making use of options to those challenges not solely in educational settings, but additionally in actual manufacturing situations.
Jobs I am curious about: Utilized Analysis Scientists in Generative AI, Security, and/or Accessibility
Electronic mail: xingyu@berkeley.edu
Web site: https://xingyu-lin.github.io/
Advisor: peter abeel
Analysis promotion: My analysis is in robotics, machine studying, and laptop imaginative and prescient, and my fundamental purpose is to study generalizable robotic abilities from two angles: (1) Studying a structured world mannequin utilizing spatial and temporal abstractions. (2) pre-training of visible representations and abilities that allow information switch from internet-scale visible datasets and simulators;
Jobs I am curious about: trainer or researcher
Electronic mail: yyu@eecs.berkeley.edu
Web site: https://yaodongyu.github.io/
Advisor: Michael I. Jordan, E.M.
Analysis promotion: My analysis pursuits broadly lie within the concept and follow of reliable machine studying, together with interpretability, privateness, and robustness.
Jobs I am curious about: School
