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Theodore Zhao

Zhengde Zhao

Senior Applied Scientist
Microsoft
Redmond, WA, USA

About Me

I am a Senior Applied Scientist at Microsoft, Health and Life Sciences Research. Currently, I focus on creating state of the art foundation models for healthcare AI. Some of my recent work include:

  • Large Multimodal Foundation Model: Image Analysis, Segmentation, Generation
  • Machine Learning: Time Series, Self-Superversion, LLM Error Detection, Multiscale analysis
  • LLMs For Healthcare: Cancer Diagnosis and Staging

I received my PhD and Master degrees in Applied Mathematics from University of Washington , advised by Prof. Tim Leung. I also worked at Microsoft, Harborview Medical Center, Rotella Capital Management, and Parametric as an Intern. I received my Bachelor degree in Physics from Fudan University in Shanghai, China.

News

  • [Nov. 2024] BiomedPrase is in Nature Methods! We are also releasing the code, model, and a million scale text promptable medical image segmentation dataset.
  • [May. 2024] Proud to lead the BiomedPrase project. We presented a foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities. Various medical image analysis tasks are unified with natural language prompting.
  • [May. 2024] Our paper on LLM Error Detection is accepted by ACL 2024. See you in Bangkok!
  • [April. 2024] I am giving a talk at 2024 Joint Statistical Meetings on 08/05/2024 in Portland.

Recent Works

  1. Publication Teaser Image
    Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Sid Kiblawi, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung-Wen, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang
    Nature Methods, 2024
    We propose BiomedParse, a biomedical foundation model that can jointly conduct segmentation, detection and recognition across nine imaging modalities.
  2. Publication Teaser Image
    Theodore Zhao, Mu Wei, J Samuel Preston, Hoifung Poon
    ACL, 2024
    We utilized Pareto optimal ledarning to estimate LLM error and increase the performance, surpassing state-of-the-art task specific models.
  3. Publication Teaser Image
    Ho Hin Lee, Yu Gu, Theodore Zhao, Yanbo Xu, Jianwei Yang, Naoto Usuyama, Cliff Wong, Mu Wei, Bennett A Landman, Yuankai Huo, Alberto Santamaria-Pang, Hoifung Poon
    Preprint, 2024
    We examine the adaptations and integrations of SAM necessary to address longstanding clinical challenges, in the context of 33 open datasets covered in our analysis.
  4. Publication Teaser Image
    Tim Leung*, Theodore Zhao*
    Mathematics, 2024
    We analyze the multiscale behaviors of high-frequency intraday prices, with a focus on how asset prices are correlated over different timescales.
  5. Publication Teaser Image
    Ruanne V Barnabas, Adam A Szpiro, Xolani Ntinga, Melissa Latigo Mugambi, Heidi van Rooyen, Andrew Bruce, Philip Joseph, Thulani Ngubane, Meighan L Krows, Torin T Schaafsma, Theodore Zhao, Frank Tanser, Jared M Baeten, Connie Celum, Alastair van Heerden, Siyabonga Nkala
    The Lancet HIV, 2022
    We conducted a randomised trial, the Deliver Health Study, of a fee for home delivery of ART compared d with free clinic ART delivery in South Africa.
  6. Publication Teaser Image
    Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning
    Tim Leung*, Theodore Zhao*
    Applied Stochastic Models in Business and Industry, 2021
    We present the method of complementary ensemble empirical mode decomposition (CEEMD) and Hilbert-Huang transform (HHT) for analyzing nonstation financial time series.

Misc

In my free time, I love stargazing. I also started making my own music recently.

Here are some of my music — Just a heads-up, you'll hear real SOUND when you hit “play”! 🎵 🎧

  • For Nora: Entanglement

  • For Parents' 30th Anniversary: Pearl Waltz

  • For Dad: À La Recherche Du Temps Perdu

  • For Mom: Sunshine in the Winter

If my research/music interests you, send me an email! I'm always open to collaborations and discussions.🍺