2024 BAIR Graduate Directory – The Berkeley Artificial Intelligence Research Blog

Every year, the Biri AI Research Laboratory (BAIR) graduates from some of the most talented minds and innovation in artificial intelligence and machine learning. PhD, both graduates expanded the boundaries of artificial intelligence research and are now ready to start new adventures in academic circles, industry and beyond.
These wonderful individuals bring with them a wealth of new knowledge, ideas and car to continue to contribute to the progress of artificial intelligence. Their work in Bair, starting from deep learning, robots, and processing of natural language to computer vision, security, and much more, contributed greatly in their fields and had transformative effects on society.
This site is devoted to the presentation of our colleagues, which makes it easy for academic institutions, research organizations and industry leaders to discover and recruit the latest generation of artificial intelligence pioneers. Here, you will find detailed profiles, research interests and communication information for each of our graduates. We invite you to explore the potential cooperation and opportunities offered by these graduates while they seek to apply their experiences and vision in new environments.
Join us in celebrating the achievements of the latest doctoral graduates in Bayer. Their journey has just started, and the future that will help in the construction bright!
Thanks to our friends at Stanford AI Laboratory for this idea!
Email: salam_azad@berkeleg
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Counselor (Advisors): Ion Stoika
Search search: My research interests are widely in the field of machine learning and artificial intelligence. During the doctorate, she focused on environmental learning methods/ learning curricula to train independent factors on reinforcement learning. Specifically, I work on the methods that generate the algorithm of various training environments (i.e. learning scenarios) for independent factors to improve generalization and sample efficiency. Currently, I am working on independent factors based on the LLM model.
Interested jobs in: Research world, ml engineer
Email: Aliciatsai@berkeleg
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Counselor (Advisors): Laurent El Goy
Search search: My research looks at the theoretical aspects of deep implicit models, starting with the representation of the unified “space space” that simplifies the recycling. In addition, the work of the various training challenges associated with deep learning, including beating and unlimited problems. In addition to theoretical exploration, the potential applications of applications extend to the areas of different problems, including the treatment of natural language and natural sciences.
Interested jobs in: Research world, applied world, automatic learning engineer
Email: CATERINE222@berkelegi.edu
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Counselor (Advisors): Masayoshi Tomizuka, Wei Zhan
Search search: My research focuses on automated learning algorithms and controlling the difficult task of the independent race in Gran Turismo Sport. I have benefited from my background in mechanical engineering to discover how machine learning and optimal control -based control can be safe and high -performance control systems for robots and independent systems. Especially focusing on Lee was how to take advantage of the data sets in non -communication mode (such as the human player racing paths) to inform better and more efficient control algorithms.
Interested jobs in: The world of research and robots/engineering control
Email: chawin.sitawarin@gmail.com
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Counselor (Advisors): David Wagner
Search search: I am widely interested in security and safety aspects of automated learning systems. Most of my previous works are present in the field of aggressive machine learning, especially hostile examples and the strength of automated learning algorithms. Recently, I am enthusiastic about the risk of safety and privacy emerging on large language models.
Interested jobs in: Research world
Email: eko@berkeley.edu
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Counselor (Advisors): Alison Jobnik
Search search: Elison Jobnik’s development is at the intersection of the child’s development with Professor Alison Jobnik. Its action includes creating evaluation criteria for LLMS rooted in the child’s growth and studying how children and adults are used GNAI models such as Chatgpt/Dalle and the formation of mental models about them. It is a Google trainee working on the AI/UX team and pre -sympathy laboratory. It was published in NeuPs, ICML, ICLR, Cogsci and perception. The work of its thesis created a unified virtual environment to test children and artificial intelligence models in one place for the purposes of RL models. It also has experience in building startups and playing STEM devices coding.
Interested jobs in: Research world (child development and AI), artificial intelligence integrity (children specialized), UX (UX) (UX) (UX) researcher)
Email: fangyuwu@berkelegi.edu
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Counselor (Advisors): Alexander Payne
Search search: Under the guidance of Professor Alexander Pine, Vangio focuses on applying methods of improvement on multi -agent automatic systems, especially in planning and controlling automatic vehicles.
Interested jobs in: Faculty members, or research world in control, improvement, and robots
Email: France@berkelegi.edu
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Counselor (Advisors): Jacob Steinhardt, Mauritz Hart
Search search: My research focus on the protein modeling of the protein. I improve the classification of protein property and protein design, as well as understand what different protein models learn. I previously worked on the sequence models of DNA and RNA, and the standards to assess the ability of interpretation and the integrity of ML models across the fields.
Interested jobs in: Research world
Email: kathyjang@gmail.com
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Counselor (Advisors): Alexander Payne
Search search: I have specialized in the reinforcement learning of self -government vehicles, focusing on enhancing decision -making and efficiency in applied settings. At future work, I am excited to apply these principles to the broader challenges across areas such as natural language processing. With my background, my goal is to see the direct impact of my efforts by contributing to innovative artificial intelligence research and solutions.
Interested jobs in: ML Research World/Engineer
Email: nichil_ghosh@berkeley.edu
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Counselor (Advisors): Ben Yu, Mai’s song
Search search: I am interested in developing a better basic understanding of deep learning and improving practical systems, using theoretical and experimental methodology. Currently, I am especially interested in improving the efficiency of large models by studying how to properly expand the excess clips with the size of the model.
Interested jobs in: Research world
Email: Oliviawatkins@berkelegi.edu
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Counselor (Advisors): Peter Abel and Trivor Daril
Search search: The RL, BC, human learning, and the use of the logical basis model for the agent’s learning. I am excited to learn the language agent, supervision, alignment and durability.
Interested jobs in: Research world
Email: RCAO@berkeley.edu
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Counselor (Advisors): Laura Wal
Search search: My research revolves in arithmetic photography, especially space modeling to restore the dynamic scene and appreciation of the movement. I also work on optical microscope techniques, improvement optical design, events camera processing, and a new offer.
Interested jobs in: Research world, PhD post, faculty members
Email: Rianhoque@berkelegi.edu
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Counselor (Advisors): Ken Goldberg
Search search: Fellow learning and reinforcement algorithms that expand in large robot fleets that perform manipulation and other complex tasks.
Interested jobs in: Research world
Email: sd@berkelegi.edu
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Counselor (Advisors): Stewart Russell
Search search: My research focuses on making language models safe, powerful and safe. I also have experience in vision, planning, traditional learning, reinforcement learning and learning.
Interested jobs in: Research world
Email: Shishirpatil2007@gmail.com
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Counselor (Advisors): Joseph Gonzales
Search search: Gorilla Llm – Llms Teaching tools (/); LLM implementation engine: ensuring the ability to reflect, durable, and reduce the Radius of the Blum of LLM integrated into the workflow of the user and institutions; The poet: binding memory, and controlling energy saving from LLMS on edge devices such as smartphones and laptops (/>
Interested jobs in: Research world
Email: Speetryk@berkeley.edu
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Counselor (Advisors): Trevor Daril, Joseph Gonzales
Search search: I am working on the reliability and safety of multimedia models. My focus was on localization and reducing hallucinations for vision language models +, as well as measurement and use of certainty and diluted bias. My interests lies in applying solutions to these challenges in actual production scenarios, not only in academic environments.
Interested jobs in: The world of applied research in artificial intelligence and safety and/or accessibility
Email: xingyu@berkelegi.edu
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Counselor (Advisors): Peter Abel
Search search: My research lies in robots, machine learning and computer vision, with the primary goal of learning generalized robot skills from two angles: (1) Learning global models organized with spatial and temporal abstracts. (2) Visual representation and pre -skills to enable knowledge transfer from data and simulation groups.
Interested jobs in: Faculty members, or research world
Email: yyu@ecs.berkelegi.edu
Website: />
Counselor (Advisors): Michael E. Jordan, Y
Search search: My research interests are widespread in theory and the practice of trustworthy learning, including interpretation, privacy and durability.
Interested jobs in: college
2024-03-11 09:00:00