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.
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.
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.
Biography: Michael is a first-year Biomedical Engineering student at Georgia Tech. His academic interests are broad, but he is particularly interested in the intersection between computation and biological processes, especially with regards to neuroscience. Michael is also a budding jazz musician and music producer. He is excited to be able to incorporate many of his interests into the lab, and looks forward to gaining a deeper understanding of the field.
Biography: 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
|Aishwarya Balwani||Graduate student – ECE||2018-2021||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||Undergrad – CS/BME||2018-2019|
|TJ LaGrow||Graduate student – ECE/BioE||2017-2019; NSF GRFP Honorable Mention||Insight Optics|
|Alexis Webber||Undergrad – BME||2017-2019; Charles Hancock Award|
|Praveen Suthaharan||Biostatistics @ Emory||2018||Research Tech at Yale Med School|
|Farahnaz Soleimani||Postdoc (w/ Susan Margulies)||2017-2018|