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description=Wanting Mao (毛婉婷), PhD student in Computer Science at UIUC. Research in AI for healthcare, time-series foundation models, self-supervised learning. Publications, projects, and contact.;

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wanting mao 毛婉婷 phd student uiuc wanting mao 毛婉婷 about news education publications contact wanting mao 毛婉婷 second year phd student in computer science at uiuc advised by prof jim rehg ai for healthcare self supervised learning time series about me i m a second year phd student in computer science at the university of illinois urbana champaign advised by prof jim rehg before my phd i completed dual b s degrees in data science and applied mathematics at uc san diego my research focuses on ai for healthcare with a current emphasis on self supervised learning for time series foundation models my goal is to translate foundation models for biosignals into safe equitable real world impact borrowing bayer s slogan my motto is science for a better life news jul 1 2026 excited to be an organizer of the icml 2026 structured data for health sd4h workshop jul 4 2025 proud to be the organizer of the neurips 2025 time series for health ts4h workshop looking forward to meeting everyone in san diego on december 7 2025 research highlights submitted to neurips 2026 protomm leveraging shared prototypes for a multimodal pulse motion foundation model protomm introduces a prototype based framework for multimodal self supervised learning on time series data by clustering embeddings around shared prototypes protomm discovers common physiological states and achieves state of the art performance across diverse tasks paper poster education university of illinois urbana champaign uiuc ph d in computer science advisor prof jim rehg aug 2024 may 2029 expected champaign il gpa 4 0 4 0 university of california san diego ucsd b s in data science b s in applied mathematics magna cum laude sep 2020 june 2024 la jolla ca gpa 3 955 4 0 awarded marshall college honors and provost honors 2021 2024 academic service leadership workshop organizer icml 2026 structured data for health sd4h workshop seoul south korea jul 2026 neurips 2025 time series for health ts4h workshop san diego ca dec 2025 reviewer kdd 2026 ai for science track february 2026 imwut november 2025 february 2026 publications leveraging shared prototypes for a multimodal pulse motion foundation model wanting mao maxwell a xu harish haresamudram mithun saha santosh kumar james m rehg manuscript submitted for review at advances in neural information processing systems neurips 2026 co first authors under review paper poster pulse ppg an open source field trained ppg foundation model for wearable applications across lab and field settings mithun saha maxwell a xu wanting mao sameer neupane james m rehg santosh kumar proceedings of the acm on interactive mobile wearable and ubiquitous technologies imwut ubicomp 2025 co first authors accepted paper code weights selected undergrad research implemented eight distribution testing algorithms ersp ucsd advisor prof daniel m kane presented at the 2022 undergraduate research symposium developed a diffusion based image generation system improving numerical accuracy and object count consistency capstone with profs alex cloninger rayan saab studied high fidelity video generation algorithms with customized scenes tencent games rocket plan 2024 built a security focused recommendation chatbot and presented findings at ucsd s summer research conference advisor prof imani n s munyaka contact email wmao8 illinois edu