teaching

Lectures and Tutorials:

• Podium Presentation: Contextualized Graphical Models Reveal Sample-Specific Transcriptional Networks for 7000 Tumors
• Chalk Talk: Recognizing, Representing, and Interpolating Human Emotions with Deep Learning
• Chalk Talk: Deep Learning Applied to Contact Prediction in De Novo Protein Models
• Tutorial Series, Tutorial Code: Bioscience Python Tutorials

Current Mentees:

• Kevin Wen, Mathematics and Computer Science BS Student, MIT
• Aaron Alvarez, Computer Science BS Student, U. Cincinnati

Past Mentees:

• Jannik Deuschel, Machine Learning MS Student, KIT
• Juwayni Lucman, Graduated Artificial Intelligence MS Student, MBZUAI
• Ding Bai, Machine Learning PhD Student, MBZUAI
• Tianjun Yao, Machine Learning PhD Student, MBZUAI
• Alyssa Lee, Computational Biology BS Student, CMU
• Wesley Lo, Mathematics BS Student, MIT

Teaching:

• Department-sponsored Mentor on Machine Learning Fundamentals, Fall 2022.
• TA for Introduction to Machine Learning (PhD), CMU 10-701, Spring 2022. Instructors: Maria Balkan, Henry Chai.
• TA for Genetics and Epigenetics of the Brain, CMU 02-319, Fall 2021. Instructor: Andreas Pfenning