Fei Wang

fw4 dot ualberta dot ca

Department of Computing Science
University of Alberta

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I am a PhD student in computing science department of the university of alberta supervised by Prof. Russ Greiner and Prof David S Wishart . My main interests are developing machine learning models for chemistry data, specifically predicting MS/MS spectra from molecular structures. This work aims to improve the precision and efficiency of mass spectrometry analysis, which is crucial for advancements in fields like metabolomics, drug discovery, biomarker discovery, and environmental analysis. I am also interested in reserve probelm that is predicted molecular structure from mass spectrum. Also from my main research focus, I also interested in other machine learning and cheminformatic problems such as molecular property prediction, molecular generation, and molecular optimization. Before this journey, I was a software engineer in a EA and Bioware, where I worked on the games such FIFA and Dragon Age.

Publications

  • FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction .
    Adamo Young, Fei Wang, David Wishart, Bo Wang, Hannes Röst, Russ Greiner
    arXiv
  • Drugbank 6.0: the drugbank knowledgebase for 2024 .
    Craig Knox, Mike Wilson, Christen M Klinger, Mark Franklin, Eponine Oler, Alex Wilson, Allison Pon, Jordan Cox, Na Eun Chin, Seth A Strawbridge, Marysol Garcia-Patino, Ray Kruger, Aadhavya Sivakumaran, Selena Sanford, Rahil Doshi, Nitya Khetarpal, Omolola Fatokun, Daphnee Doucet, Ashley Zubkowski, Dorsa Yahya Rayat, Hayley Jackson, Karxena Harford, Afia Anjum, Mahi Zakir, Fei Wang, Siyang Tian, Brian Lee, Jaanus Liigand, Harrison Peters, Ruo Qi Wang, Tue Nguyen, Denise So, Matthew Sharp, Rodolfo da Silva, Cyrella Gabriel, Joshua Scantlebury, Marissa Jasinski, David Ackerman, Timothy Jewison, Tanvir Sajed, Vasuk Gautam, David S Wishart
    Nucleic Acids Research Project Website
  • Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances .
    Fei Wang, Daniel Pasin, Michael A Skinnider, Jaanus Liigand, Jan-Niklas Kleis, David Brown, Eponine Oler, Tanvir Sajed, Vasuk Gautam, Stephen Harrison, Russell Greiner, Leonard J Foster, Petur Weihe Dalsgaard, David S Wishart
    Analytical Chemistry Project Website News
  • HMDB 5.0: the human metabolome database for 2022 .
    David S Wishart, AnChi Guo, Eponine Oler, Fei Wang, Afia Anjum, Harrison Peters, Raynard Dizon, Zinat Sayeeda, Siyang Tian, Brian L Lee, Mark Berjanskii, Robert Mah, Mai Yamamoto, Juan Jovel, Claudia Torres-Calzada, Mickel Hiebert-Giesbrecht, Vicki W Lui, Dorna Varshavi, Dorsa Varshavi, Dana Allen, David Arndt, Nitya Khetarpal, Aadhavya Sivakumaran, Karxena Harford, Selena Sanford, Kristen Yee, Xuan Cao, Zachary Budinski, Jaanus Liigand, Lun Zhang, Jiamin Zheng, Rupasri Mandal, Naama Karu, Maija Dambrova, Helgi B Schiöth, Russell Greiner, Vasuk Gautam
    Nucleic Acids Research Project Website
  • A deep generative model enables automated structure elucidation of novel psychoactive substances .
    Michael A Skinnider, Fei Wang, Daniel Pasin, Russell Greiner, Leonard J Foster, Petur W Dalsgaard, David S Wishart
    Nature Machine Intelligence News
  • Exploring language-agnostic speech representations using domain knowledge for detecting Alzheimer’s dementia .
    Zehra Shah, Shi-Ang Qi, Fei Wang, Mahtab Farrokh, Mashrura Tasnim, Eleni Stroulia, Russell Greiner, Manos Plitsis, Athanasios Katsamanis
    ICASSP 2023 News
  • CFM-ID 4.0–a web server for accurate MS-based metabolite identification .
    Fei Wang, Dana Allen, Siyang Tian, Eponine Oler, Vasuk Gautam, Russell Greiner, Thomas O Metz, David S Wishart
    Nucleic Acids Research Project Website
  • CFM-ID 4.0: more accurate ESI-MS/MS spectral prediction and compound identification .
    Fei Wang, Jaanus Liigand, Siyang Tian, David Arndt, Russell Greiner, David S Wishart
    Analytical Chemistry
Plain Academic