Muhammad Toseef

I am a final-year PhD candidate in the Department of Computer Science at City University of Hong Kong, supervised by Prof. Ka-Chun Wong. From December 2023 to June 2024, I was a visiting PhD student in the Hemberg Lab at Brigham and Women’s Hospital, Harvard Medical School, under the supervision of Prof. Martin Hemberg.

Prior to that, I recieved BEng and MS in Software Engineering from the University of Bradford and South China University of Technology, respectively.

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Profile photo
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Research Interests

My research interests span Transfer Learning, Biomedical Informatics, Computational Biology, and Data Science. My recent research focuses on topics such as large language models (LLMs) and multimodal models (MMLMs) to genomics and clinical data.

I am particularly interested in exploring electronic health records (EHRs) using large language models and transfer learning approaches, with the goal of developing interpretable, scalable, and generalizable models that can support clinical decision-making across diverse patient populations.

🎯 I am currently looking for postdoctoral opportunities starting in Fall 2025.

Selected Publications

(full list)
Reducing healthcare disparities using multiple multiethnic data distributions with fine-tuning of transfer learning
Muhammad Toseef, Xiangtao Li, Ka-Chun Wong
Briefings in Bioinformatics, 2022
Construction of Immune Infiltration-Related LncRNA Signatures Based on Machine Learning for the Prognosis in Colon Cancer
Zhe Liu, Olutomilayo Olayemi Petinrin, Muhammad Toseef, Nanjun Chen, Ka-Chun Wong
Biochemical Genetics, 2023
Machine learning in metastatic cancer research: Potentials, possibilities, and prospects
Olutomilayo Olayemi Petinrin, Faisal Saeed, Muhammad Toseef, Zhe Liu, Ibukun Omotayo Muyide, Qiuzhen Lin, Xiangtao Li, Ka-Chun Wong
Computational and Structural Biotechnology Journal, 2023
Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results
Muhammad Toseef, Olutomilayo Olayemi Petinrin, Fuzhou Wang, Saifur Rahaman, Zhe Liu, Xiangtao Li, Ka-Chun Wong
Briefings in Bioinformatics, 2023
GILoop: Robust chromatin loop calling across multiple sequencing depths on Hi-C data
Fuzhou Wang, Tingxiao Gao, Jiecong Lin, Zetian Zheng, Lei Huang, Muhammad Toseef, Xiangtao Li, Ka-Chun Wong
iScience, 2022
Synthetic data with neural machine translation for automatic correction in Arabic grammar
Aiman Solyman, Wang Zhenyu, Tao Qian, Arafat Abdulgader Mohammed Elhag, Muhammad Toseef, Zeinab Aleibeid
Egyptian Informatics Journal, 2021

Teaching Experience

City University of Hong Kong – Teaching Assistant

Academic Services

Conference Reviewer: ICONIP 2024 & 2025, IEEE Big Data 2022, ISMSI 2020 & 2021

Journal Reviewer: Computational and Structural Biotechnology Journal, Heliyon, BioData Mining, PeerJ Computer Science

Design adapted from Jon Barron's website.