PhD Students:

Mehdi Azabou

Machine Learning

Biography: Mehdi is a first year PhD student in Machine Learning at Georgia Tech. He received his MS in Engineering from CentraleSupelec, France in 2019 and will receive his MS in Computer Science from Georgia Tech in 2020. His interests lie in Deep Learning, Computational Neuroscience and Representation Learning on Graphs and Manifolds. He is particularly excited about finding applications of machine learning that improve the understanding of the brain. He is an enthusiast for dynamic and interactive visualizations that can deepen the understanding and enable new ways of thinking.

Chi-Heng Lin

Electrical & Computer Engineering

Biography: Chi-Heng received his bachelor’s degree in Electrical Engineering from National Taiwan University and is currently an ECE PhD student at Georgia Tech. His research interests lie in applied mathematics, which includes applications in machine learning and digital signal processing. His research thus far has focused on Bayesian optimization and its applications in cost-constrained system optimization for brain mapping. He is excited about both using machine learning to uncover the mysteries of the brain as well as taking inspiration from the human brain to improve machine learning.

Ran Liu

Electrical & Computer Engineering

Biography: Ran is a Machine Learning PhD student at Georgia Tech. Originally from mainland China, Ran received her bachelor’s degree in Physics from Fudan University with a lot of extra courses in data science, mathematics, and social science. Ran is broadly interested in machine learning and deep learning, and is particularly passionate about problems that utilize advanced machine learning algorithms on challenging practical problems in the field of health. Outside of research, Ran enjoys observing online communities and playing with her super adorable cat whose Instagram is @tiggerisasmalltiger.

Undergraduate Students:

Zijing Wu



Zijing is a sophomore majoring in Mathematics with a double minor in Psychology and CS. His academic interest interleaves with mathematics, computational models, and human cognition & intelligence. And he feels quite excited to see all these fields converging into a vibrant interdisciplinary niche. Currently, he is working on developing machine learning models which help explain causality between neural signal and behavior. Beyond that, he is looking forward to working more with the lab’s ongoing projects to help facilitate its mission.

High School Interns:

  • Shanthi Hegde, Lambert High School
  • Amaal Abdi, Gwinnett School of Mathematics, Science, and Technology
  • Chinmay Joshi, Walton High School


Aish Balwani  Graduate student – ECE 2017-2020 Ph.D. student in ECE at GT
Max Dabagia  Undergrad – ECE 2018-2020; NSF GRFP, PURA Research Award Ph.D. student in ACO at Georgia Tech
Joseph Miano Undergrad – CS 2018-2020; PURA Travel Award M.S. in CS at Georgia Tech
Kyle Milligan Graduate student – BME 2018-2020 Centers for Disease Control, Biostatistics
Heather Whittaker BS – CS/BME 2018-2019
TJ LaGrow MS – ECE/BioE 2017-2019; NSF GRFP Honorable Mention Insight Optics
Alexis Webber BS – BME 2017-2019; Charles Hancock Award
Praveen Suthaharan MS – Biostatistics @ Emory 2018 Research Tech at Yale Med School
Farahnaz Soleimani Postdoc (w/ Susan Margulies) 2017-2018