Teaching

ePrimer

Neural Networks for Chemists

Qingyang Xiao, Kaiyuan Liu, Yuhui Hong, Haixu Tang (2024).

American Chemical Society.

eBook

Courses

• Since Fall 2025
  AI on Ramp

  DSCI-D590 · Course Designer · Indiana University
• Spring 2025
  Topics in Data Science

  DSCI-D590 · Instructor · Indiana University
• Fall 2024
  Machine Learning Bioinformatics

  INFO-I529 · Instructor · Indiana University
• Fall 2024
  Big Data Analytics

  DSCI-D351 · Assistant Instructor (Aug.–Sep.) · Indiana University Introduction to Spark

Mentoring

• Autumn 2026
  Ming Yan, Ian Xia, Evan Gubarev, and Yuntong Pan

  CSE 499 Undergraduate Research · University of Washington

  De novo peptide sequencing with Casanovo and Cascadia Intro to proteomics MS
• Spring 2025
  Flynn Keele

  CSCI-Y 390 Undergraduate Independent Study · Indiana University

  Co-mentored with Professor Haixu Tang

  Meta-learning for adaptable pre-trained small-molecule representation models
• Summer 2024
  Stephen Kimani

  IUUR STEM Summer Research Program · Indiana University

  Deep learning for glycan tandem mass spectra prediction
• Spring 2024
  Jordan Spell

  CSCI-Y 390 Undergraduate Independent Study · Indiana University

  Transfer learning for retention time prediction across experimental conditions
• Spring 2024
  Wenqian Chen

  M.S. Capstone Research Project · Indiana University

  A workflow for predicting small-molecule retention time across experimental conditions