Hao Liu

Assistant Professor
School of Computing
Montclair State University

prof_pic.jpg

liuha at montclair dot edu

CCIS 227E

School of Computing

Montclair State University

Montclair, NJ 07043

My work seeks to leverage innovations in artificial intelligence into knowledge discovery, representation, and computation from biomedical/clinical literature and Electronic Health Records(EHRs). My research interests include clinical informatics, natural language processing, machine learning, data mining, knowledge representation, and ontology engineering. I am passionate about AI in Healthcare research.

I was a Postdoc Research Scientist in the Department of Biomedical Informatics at Columbia University. I received my Ph.D. degree in Computer Science from New Jersey Institute of Technology (NJIT), co-advised by Dr. Yehoshua Perl and Dr. James Geller. My PhD research focused on developing machine learning algorithms for biomedical ontology engineering, mainly focused on ontology enrichment and quality assurance. I graduated with a M.S. degree in Electrical Engineering from Columbia University, NY. I have a B.S. degree in Electrical & Computer Engineering from New York Institute of Technology, NY.

News

Jun 17, 2024 Our paper was accepted to the 15th International Conference on Information, Intelligence, Systems and Applications (IISA2024)!
Jun 5, 2024 I serve on the Program Committee for The 2024 International Workshop on AI Applications in Public Health and Social Services (AI-PHSS 2024) for AIME 2024.
May 24, 2024 I am admitted as a member of the Association for Computing Machinery (ACM)!
May 15, 2024 I will serve on the Graduate Council of Montclair State University for AY24-25!
Apr 23, 2024 I am delighted to announce that my student Ernest Chianumba was invited to join the BMS Science Scholars program at Montclair State University. This program aims to benefit scholars through supporting the development of their research skills and professional development in the pharmaceutical industry.
  • Students: Ernest Chianumba
  • Mentors: Dr. Hao Liu
  • Program: BMS Science Scholars program
  • Venue: Montclair State University
  • Topic: Leverage Open Language Models for Improving Healthcare Predictive Analytics
  • Duration: May 15 to Dec 15, 2024
  • Stipend: $5,000

Please join me in congratulating Ernest Chianumba! Happy to share this announcement with all of you!
Apr 19, 2024 We are delighted to announce that our students Isabele, Anand, Ramy and Ola of Team Machine Minds won the 1st Prize in the Graduate Track at the nationwide RAISE-2024 competition hosted by Rutgers University, NJ. Details are as follows.
  • Students: Isabele Bittencourt, Anand Gopeekrishnan, Ramy Othman, Ola Suaifan
  • Mentors: Dr. Aparna Varde and Dr. Hao Liu
  • Team Name: Machine Minds
  • Competition: RAISE-2024 Student Data Science / Informatics Competition
  • Venue: Rutgers University, NJ, Bloustein School - Master of Public Informatics
  • Topic: Does News Media Spread Fear of AI?
  • Participants: Accredited US institutions
  • Duration: Feb 15 to Apr 19, 2024
  • Track: Graduate Students
  • Cash Prize: $1,000 per winning team student (total $4,000)

Our students put in immense efforts on this project & we were happy to guide them through their journey. Please join us in congratulating Team Machine Minds!
Team Machine Minds won the 1st Prize in the Graduate Track at the nationwide RAISE-2024 competition
You can watch the presentation on Youtube.
Happy to share this announcement with all of you!
Mar 22, 2024 Our software demo was accepted to IEEE/ACM CHASE 2024!
Mar 14, 2024 Our paper was accepted to IEEE ICHI 2024!
Feb 23, 2024 Our paper won a best paper award in the 15th International Conference on Information, Intelligence, Systems and Applications (IISA2024)!
Dec 5, 2023 Our paper was accepted to HEALTHINF 2024!
Nov 10, 2023 Our paper was accepted to AIBH@IEEE BIBM2023!
Oct 18, 2023 I will serve as a publicity chair of IEEE/ACM CHASE 2024.
Oct 13, 2023 I will serve on the program committee of IEEE ICHI'2024 (The 12th IEEE International Conference on Healthcare Informatics).
Feb 20, 2023 Our paper “How Good is ChatGPT for Medication Evidence Synthesis?” was accepted by Medical Informatics Europe 2023!
Jan 11, 2023 I will serve as a program committee of IEEE ICHI'2023 (The Eleventh IEEE International Conference on Healthcare Informatics).
Dec 17, 2022 Our paper “Can Race-sensitive Biomedical Embeddings Improve Healthcare Predictive Models?” was accepted in AMIA 2023 Informatics Summit!
Nov 1, 2022 Our paper “Ontology-based categorization of clinical studies by their conditions” was published in Journal of Biomedical Informatics(IF: 8.0)!
Oct 7, 2022 Congratulations to Bridget Zelin, a high school student I mentored, for her acceptance in AMIA 2022 High School Scholar Submission
Apr 12, 2022 The LitCoin Natural Language Processing (NLP) Challenge
  • Honorable Mention: Hao Liu (Columbia University Irving Medical Center, New York, New York)! :sparkles: :smile:
Mar 29, 2022 I was invited to give a seminar talk titled “NLP-based knowledge sharing and evidence retrieval of clinical studies” at the College of Engineering & Computing Sciences in New York Institute of Technology, March 29, 2022
Mar 9, 2022 I was invited to give a guest lecture titled “NLP-based quality assurance of ontologies and knowledge sharing of clinical trials” for HINF 5016: Natural Language Processing in Health at Weill Cornell Medicine, March 9, 2022
May 13, 2021 Congratulations to Jane Pan, an undergraduate student I co-mentored, for winning the First Place in the Inaugural COVID Information Commons (CIC) Undergraduate Student Paper Challenge for her paper "Contradiction Detection of COVID-19 Randomized Controlled Trials via BERT Language Models."

Selected Publications

  1. AMIA
    Can Race-sensitive Biomedical Embeddings Improve Healthcare Predictive Models?
    Hao Liu, Nour Moustafa-Fahmy, Casey Ta, and Chunhua Weng
    AMIA Informatics Summits Mar 2023
  2. Ontology-based categorization of clinical studies by their conditions
    Hao Liu, Simona Carini, Zhehuan Chen, Spencer Phillips Hey, Ida Sim, and Chunhua Weng
    J. Biomed. Inform. Nov 2022
  3. A knowledge base of clinical trial eligibility criteria
    Hao Liu, Chi Yuan, Alex Butler, Yingcheng Sun, and Chunhua Weng
    J. Biomed. Inform. May 2021
  4. Concept placement using BERT trained by transforming and summarizing biomedical ontology structure
    Hao Liu, Yehoshua Perl, and James Geller
    J. Biomed. Inform. Dec 2020