Dr. Haohan Wang

Assistant Professor

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Biography

Haohan Wang is an Assistant Professor at the School of Information Sciences at the University of Illinois Urbana-Champaign. His research focuses on developing trustworthy machine learning methods for computational biology and healthcare applications, particularly in decoding the genomic language relevant to Alzheimer's disease. His work leverages statistical analysis and deep learning methods with an emphasis on data analysis techniques that mitigate spurious signals—features that are statistically associated but not causally linked to targets. In 2019, Wang was recognized as part of the Generation Biomedicine by the Broad Institute of MIT and Harvard due to his contributions in addressing confounding factors within deep learning frameworks. He earned his PhD in Computer Science from the Language Technologies Institute of Carnegie Mellon University.

Research Interests

Experience

Assistant Professor

2022-01-01 — Present

University of Illinois Urbana-Champaign • Champaign, IL

Researches trustworthy machine learning methods applied to biological and medical problems.

Awards

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Top 50 AI+X Rising Young Scholars

2022-01-01
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Youth Outstanding Paper Award

2021-01-01
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Generation: Rising Stars in Biomedicine

2019-01-01

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.