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baharan mirzasoleiman toggle navigation about current publications bigml openings teaching talks baharan mirzasoleiman engineering vi 397b 404 westwood plaza los angeles ca 90095 baharan cs ucla edu i am an associate professor in the computer science department at ucla where i lead the bigml research group my research aims to make machine learning more sustainable reliable and efficient through principled improvements to how models are trained i develop data centric and optimization guided methods that improve the quality of training data and the learning algorithms used throughout the foundation model lifecycle my recent work spans pretraining supervised fine tuning sft and reinforcement learning rl with a particular focus on reasoning multimodal and diffusion models by understanding how data and optimization interact to shape model capabilities i develop algorithms that improve performance robustness and training efficiency while reducing computational cost before joining ucla i was a postdoctoral research fellow in computer science at stanford university working with jure leskovec i received my ph d in computer science from eth zurich advised by andreas krause i received an eth medal for outstanding doctoral thesis was selected as a rising star in eecs by mit and received an nsf career award a ucla hellman fellows award and an okawa research award check out our tutorial on foundations of data efficient learning at icml 24 news apr 26 2026 i will give an invited talk at iclr 26 data fm workshop apr 21 2026 yihao xue received a computer science graduate student awards may 5 2025 yu yang received a computer science graduate student awards may 4 2025 i will give invited talks at attrib at neurips 24 northwestern statistics data science seminar and scls at iclr 25 dec 6 2024 i will be co organizing the 3nd new frontiers in adversarial machine learning at neurips 24 dec 5 2024 i received an okawa research award nov 14 2024 i will give an invited talk at google workshop on theory and practice of foundation models aug 2 2024 check out our tutorial on foundations of data efficient learning at icml 24 you can find the slides here and the recording here jun 15 2024 yu yang received a ucla dissertation year award apr 15 2024 yihao xue received an openai superalignment fast grant mar 7 2024 i will give keynote talks at kdd 23 resource efficient learning workshop iclr 24 dmlr workshop usc seeds 24 conference cvpr 24 dataset distillation workshop aug 15 2023 i received a hellman fellows award jul 1 2023 i will be co organizing the 2nd new frontiers in adversarial machine learning may 1 2023 i will be co organizing the 3rd sparsity in neural network workshop at iclr continuing our efforts at 2nd sparsity in neural network workshop and 1st sparsity in neural network workshop sep 7 2022 i will give invited talks at ifml workshop uai tractable probabilistic modelling workshop tpm vanderbilt university machine learning seminar icml dataperf workshop ut austin ece colloquia seminar stanfod mlsys seminar and icml subsetml workshop summarizing our efforts on data selection for efficient and robust learning you can watch some here sep 7 2022 yu yang received an amazon doctoral student fellowship aug 15 2022 i received an nsf career award may 27 2022 i received an amazon research award copyright 2026 baharan mirzasoleiman