Wang to join iSchool faculty

Haohan Wang
Haohan Wang, Assistant Professor

The iSchool is pleased to announce that Haohan Wang will join the faculty as an assistant professor in August 2022, pending approval by the University of Illinois Board of Trustees. He recently completed his PhD in computer science through the Language Technologies Institute of Carnegie Mellon University.

Wang's research focuses on the development of trustworthy machine learning methods for computational biology and healthcare applications, such as decoding the genomic language of Alzheimer's disease. In his work, he uses statistical analysis and deep learning methods, with an emphasis on data analysis using methods least influenced by spurious signals (features that are statistically associated with the target but not causal). In 2019, Wang was recognized as the Next Generation in Biomedicine by the Broad Institute of MIT and Harvard because of his contributions in dealing with confounding factors with deep learning.

"It is my great pleasure to join the renowned faculty at the iSchool and contribute to science in a world-class institution that values innovation in information science," said Wang. "I'm looking forward to collaborating with colleagues on multiple dimensions and helping improve the trustworthiness of data science methods, to push the frontier of understanding biomedical problems."

"We are extremely proud of our School's expertise in the areas of artificial intelligence and machine learning," said Dean and Professor Eunice E. Santos. "Haohan's work on trustworthy and robust machine learning, with a focus on medical applications, will be a welcome addition to our research enterprise." 

Tags:
Updated on
Backto the news archive

Related News

Illinois researchers examine teens’ use of generative AI, safety concerns

Teenagers use generative artificial intelligence for many purposes, including emotional support and social interactions. A study by University of Illinois Urbana-Champaign researchers found that parents have little understanding of GAI, how their children use it and its potential risks, and that GAI platforms offer insufficient protection to ensure children’s safety.

Yang Wang

New project to enhance understanding of complementary medicine approaches

Complementary medicine approaches, such as natural products, acupuncture, and meditation, are increasingly used by the public and accepted by the medical community. However, knowledge of the safety and effectiveness of these approaches, as well as their impact on human health, is limited in comparison to conventional medical approaches.

Halil Kilicoglu

iSchool represented at Charleston Conference

iSchool adjunct and affiliate faculty will participate in virtual and in-person sessions of the 2024 Charleston Conference. The conference is an annual gathering that draws librarians, publishers, vendors, and others to discuss issues relating to the acquisition and publication of books and serials. 

Schneider group to present at ASIS&T workshop

Members of Associate Professor Jodi Schneider’s group will present their research at the Association for Information Science and Technology (ASIS&T) Workshop on Informetric, Scientometric, and Scientific and Technical Information Research, which will be held virtually on November 6 and 13. The MET-STI 2024 Workshop is collaboratively hosted by the Special Interest Group for Metrics (SIG-MET) and Special Interest Group for Scientific and Technical Information (SIG-STI) of ASIS&T.

Jodi Schneider

Wong co-edits new edition of Reference and Information Services

Adjunct Lecturer Melissa Wong (MSLIS '94) and Laura Saunders, professor of library and information science at Simmons University, are the co-editors of Reference and Information Services: An Introduction, Seventh Edition, which was recently published by Bloomsbury Libraries Unlimited. The textbook provides a comprehensive update to the previous edition, also co-edited by Wong and Saunders, and serves as an essential resource for LIS students and practitioners alike.

Melissa Wong