Hwang Laboratory
Hwang Lab
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MACHINE LEARNING & AI GROUp at Mayo Clinic

 
 
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Research Interests

[NEWS] Our lab will move to Mayo Clinic in Florida starting Oct. 2021. Tae Hyun Hwang, PhD will hold an endowed chair position with the designation of Florida Department of Health Cancer Chair to build a nationally recognized program in Artificial Intelligence in Cancer at Mayo Clinic Florida! New positions for AI/Data Scientists and Bioinformatician are available and please send an email to us.

We focus on advancing the understanding of complex biological systems through the innovative use of artificial intelligence (AI), machine learning, and computational methods, combined with experimental approaches. Our interdisciplinary research encompasses spatial biology, single-cell biology, digital pathology, biomarker discovery, and therapeutic development, including novel immunotherapy and cellular therapy strategies. A key aspect of our research is the creation and analysis of subcellular-resolution 3D tumor atlas models, which enable us to gain unprecedented insights into the tumor immune microenvironment (TIME) and its role in various cancer types. This comprehensive approach allows us to investigate the intricate relationships between cellular and molecular components, ultimately guiding the identification of novel biomarkers and personalized therapeutic interventions.

The followings are the areas that our group are actively working:

  • AI and Machine Learning-driven Spatial Biology and Single-Cell Analysis: We develop and apply cutting-edge AI, machine learning, and computational techniques to decode the spatial organization of cells, tissues, and organs, as well as to characterize individual cell states and their interactions within the tumor immune microenvironment. We also use experimental methods to validate our computational findings, generating high-resolution molecular and phenotypic maps of complex biological systems to unravel the mechanisms underlying cellular heterogeneity, tissue organization, and disease progression.

  • Subcellular-Resolution 3D Tumor Atlas Models empowered by AI and Machine Learning algorithms: We harness the power of advanced imaging technologies, AI, machine learning, and computational methods to create subcellular-resolution 3D tumor atlas models for in-depth analysis of the tumor immune microenvironment (TIME) in pancreatic cancer. This approach enables us to investigate the complex interplay between cellular and molecular components, offering unprecedented insights into treatment resistance mechanisms. Our research in this area focuses on developing robust AI and ML algorithms and computational tools to identify novel biomarkers, predict patient outcomes, and guide personalized therapeutic interventions using 3D Tumor Atlas Models.

  • Therapeutic Development, Immunotherapy, and Cellular Therapy:: Our lab is committed to designing and optimizing innovative therapeutic strategies, including novel immunotherapies and cellular therapies, to combat a wide range of diseases, such as cancer and autoimmune disorders. We leverage AI, machine learning, and computational modeling, along with experimental validation, to identify potential drug targets, predict therapeutic responses, and guide the rational design of personalized treatment regimens targeting the tumor immune microenvironment. Our work also includes developing and refining cellular therapy approaches, such as chimeric antigen receptor (CAR) T cell therapy, to enhance their efficacy and minimize their toxicity.

By synergistically combining state-of-the-art AI, machine learning, computational approaches, experimental methodologies, and subcellular-resolution 3D tumor atlas models, the Hwang Lab strives to unravel the complex mechanisms governing health and disease, with a particular focus on the tumor immune microenvironment, ultimately driving innovations in personalized medicine and therapeutic development.

Learn More ►

Talks!

News!

  • 06/14/2023: We are selected to present two oral presentation at Immunotherapy Scientific Program at the 15th International Gastric Cancer Congress.

  • 05/22/2023: Tae Hyun Hwang will give an invited talk at HIMA Imaging Science Session and serve as a panelist at Pathology Informatics Summit 2023

  • 05/14/2023: Tae Hyun Hwang will give a talk at Representation Learning and serve as a panelist at AI and Genomics at the 2023 Great Lakes Bioinformatics Conference

  • 05/05/2023: 12th Annual Individualizing Medicine Conference: Direct-to-Patient Omics-Based Clinical Trials Tae Hyun Hwang will give a talk

  • 04/14/2023: Our group will present 6 posters about AI, Machine Learning, Deep Learning based approaches utilizing single cell, spatial biology, and image data at AACR 2023 meeting.

  • 11/31/2021: Tae Hyun Hwang gave a talk about machine learning and AI approaches developing clinically actionable biomarker for chemotherapy and immunotherapy in gastric cancer at TargetCancer Foundation.

  • 04/21/2021: Tae Hyun Hwang gave an invited webinar about “Computational driven Spatial Transcriptome Analysis to Investigate Molecular Mechanisms present in Tumor Immune Microenvironment Associated With Immune Checkpoint Inhibitor Response in Gastric Cancer” at NanoString Webinar Series “Total Transcriptome Takeover”.

  • 04/20/2021: Tae Hyun Hwang gave an invited talk about “Machine Learning driven Digital Pathology and Spatial Transcriptome Analyses to Predict Immune Directed Therapy Response in Bladder and Gastric Cancer” at Brigham and Women’s Hospital Computational Digital Pathology Symposium with >400 participants.

  • 02/27/2021: Tae Hyun Hwang gave a seminar about our ongoing research "Spatial transcriptome, single cell and digital pathology approaches to understand mechanisms of response and resistance to Immunotherapy and cell therapy: Opportunities and challenges for machine learning and AI scientists" in the department of computational biology at Carnegie Melon University on March 5th.

  • 1/13/2020: Tae Hyung Hwang gave a seminar at Cleveland Clinic-Yonsei Severance Joint AI and Data Science conference.

  • 8/04/2019: Tae Hyun Hwang gave a keynote regarding AI in Healthcare at 24th ACM SIGKDD conference on Knowledge Discovery and Data Mining.

Contact

➤ LOCATION

4500 San Pablo Rd S.
Jacksonville, FL 32224