Principal Investigator

Tae Hyun Hwang

My research interest is developing novel machine learning and AI algorithms to ultimately help patients with lethal diseases. I hold the Florida Department of Health Cancer Chair Professor in the Department of Artificial Intelligence and Informatics, Department of Immunology, and Department of Cancer Biology at Mayo Clinic. One of my roles at Mayo Clinic is to build an internationally recognized program in AI in Oncology. I served as a bioinformatics core director for  NASA Specialized Centers of Research (NSCOR) to identify biological markers for susceptibility to cancer and early disease detection and countermeasures to reduce risk from exposure to space radiation. I also served as a Data Analysis Core co-director to lead a team of bioinformaticians for the University of Texas Southwestern Kidney Cancer Specialized Programs of Research Excellence (SPORE) and led the bioinformatics team for the University of Texas Lung Cancer SPORE grants.  My contributions to those projects are for developing machine learning, data mining, and bioinformatics methodology to identify prognostic and predictive biomarkers and build predictive models for clinical outcome prediction and treatment stratification. Currently, I am leading translational machine learning and AI research for precision oncology, immuno-oncology, and cellular therapy in cancer at Mayo Clinic.

Education

UNIVERSITY OF MINNESOTA TWIN CITIES
Ph.D., Computer Science, 2011

INHA UNIVERSITY, KOREA
B.E., Computer Science, 2004

Research Scientist

Changjin Hong

I am interested in developing novel algorithms and high-quality informatics pipelines to analyze multi-omic, high-throughput data to make a high impact in aiding disease diagnosis and therapy. My current research projects include:

• Alternative polyadenylation associated with diseases

• Prioritizing disease-causing genes with patient phenotypes

• Analysis of the gut microbiome

Education

UNIVERSITY OF MINNESOTA TWIN CITIES
Ph.D., Electrical Engineering, 2008

HANYANG UNIVERSITY, KOREA
B.S., Electrical and Computer Engineering, 1999

Research Scientist

Sunho Park

My research interest is to develop machine learning models on highly complex bio-medical data related to cancer. For example, I have developed deep Gaussian process (DGP)-based prediction models of microsatellite instability (MSI) status using super-high-resolution Hematoxylin and Eosin (H & E) stained whole slide images (MSI is a known biomarker for immunotherapy in multiple cancer types). I am also interested in spatially resolved transcriptomic (including protein markers) which enables us to capture the genetic information of cancer in the spatial contexts. My goal is to develop not only accurate prediction models but also pattern identification methods which eventually can lead to targetable biomarkers.

Education

POHANG UNIVERSITY OF SCIENCE AND TECHNOLOGY, KOREA
Ph.D., Computer Science, Feb. 2013

KOREA UNIVERSITY, KOREA
B.S., Electrical, Electronics and Radiowave Engineering, 2004

Associate Data Science Analyst

Minji Kim

My research interests are in applying deep learning in biomedical fields.

Education

Texas A&M University-Commerce
M.S., Computer Science, 2021

Hongik University, Korea
B.S., Electronic and Electrical Engineering, 2019

Graduate Student

Jean René Clemenceau

My interests are on translational research focused on utilizing computational techniques to interrogate the tumor-immune microenvironment with the ultimate goal improving patient outcomes. My approaches are based on integrating spatial transcriptomics, proteomics, tissue imaging and single cell technologies in the search for actionable biomarkers.

Education

Cleveland Clinic Lerner College of Medicine
Ph.D., Molecular Medicine, Exp. 2024

Baylor University
B.S., Informatics, 2013

Graduate Student

Robert Schauner

My research interests lie in applying established computational tools to high parameter data to understand complex immunological phenomena in regards to cell therapy and the tumor microenvironment.

Education

Case Western Reserve University
Ph.D., Pathology, Exp. 2023

Coe College
B.A., Biology and Molecular Biology, 2018

Post-Doctorate fellow

Sumanth Reddy Nakkireddy

My research interests are Bayesian inverse problems and developing novel machine learning algorithms in the biomedical field.

Education

Case Western Reserve University
Ph.D., 2021

Indian Institute of Science Education and Research
B.S./M.S., 2015

Research Associate

Inyeop Jang

My research interest are in deep learning based Medical Image Processing.

Education

Gwangju Institute of Science and Technology, Korea
Ph.D. 2013, M.S. 2008, Mechatronics

Sejong University, Korea
B.E., Computer Science and Engineering, 2006

visiting scholar

Ji-Youn Sung

My research interests are in application of artificial intelligence and machine learning for discovery of cancer biomarkers.

Education

Kyung Hee University, Korea
Ph.D., Pathology, 2010

Kyung Hee University, Korea
M.D., Medicine, 2005

Intern

Isabel Barnfather

My research interests are focussed on applying my oncological and immunological studies thus far to interdisciplinary cancer research.

Education

University of Manchester, UK
B.Sc, Biomedical Sciences, Exp. 2025

visiting scholar

Jeong Hwan Park

My research interests are application of ML/DL and spatial transcriptomics for understanding cancer biology and pathogenesis.

Education

Seoul National University, College of Medicine, Korea
Ph.D., Pathology, 2019

Chosun University, College of Medicine, Korea
M.D., Medicine, 2008

visiting scholar

Min-Ku Chon

My research interests are application of ML/DL techniques, bioinformatics in cardiology and cardio-oncology field.

Education

Pusan National University, Korea
M.D, Medicine, 2003

Inje University, Korea
Ph.D., Internal Medicine, 2014

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If you're interested in implementing the latest artificial intelligence and machine learning technologies to biomedical research while having access to the full spectrum of real-patient data in a first-class institution, get in touch!

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