Biography: Mehdi is a second 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.
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 optimal transport and 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.
Electrical & Computer Engineering
Biography: Jorge is a first year PhD student in Machine Learning at Georgia Tech. Originally from Lima, Peru, he received his bachelor’s in Electrical Engineering from the Pontifical Catholic University of Peru, focusing on image processing and optimization courses. He went on to pursue an MS in Digital Signal and Image Processing at the same institution, where he became interested in the cross-fertilization between the fields of computational neuroscience and machine learning. He’s excited about the study of machine learning methods that may help improve our understanding of the human brain, as well as drawing from current ideas in neuroscience to build better machine learning techniques. When he’s not doing research, Jorge enjoys swimming, hiking and playing video games.
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: Joy is a third-year student majoring in biomedical engineering at the University of Miami, with a double minor in art and biological physics. I’m interested in biomechanics, particularly with the structure and function of different tissues and cells. Though machine learning is still relatively new to me, it has been incredible to see its application through this lab and I’m looking forward to exploring it more! Outside of school and research, I enjoy playing tennis, going to concerts, and keeping up with the Memphis Grizzlies basketball team.
Biography: Carolina is a fourth-year exchange student at Georgia Tech. She is majoring in Biomedical Engineering at Universidad Carlos III de Madrid, Spain, where she has noticed her interest in math and programming. She is taking the opportunity of being at Georgia Tech and the lab to learn more about data science and machine learning and to combine it with the curiosity for the nervous system she has always had. Both outside and inside her academical and research interests, she loves to see new places, meet new people and learn new things.
- Max Dabagia (Georgia Tech)
- Hengen Lab (PI: Keith Hengen, Washington University in St. Louis)
- Aidan Schneider, Wash U Neuroscience Ph.D. program
- Lu Lab (PI: Hang Lu, Georgia Tech)
- Johns Hopkins Applied Physics Lab (PI: Will Gray-Roncal, JHU-APL)
Graduate students and postdocs:
|Aishwarya Balwani||Graduate student – ECE||2018-2021||Ph.D. student in ECE at GT|
|Kyle Milligan||Graduate student – BME||2018-2020||Centers for Disease Control, Biostatistics|
|TJ LaGrow||Graduate student – ECE/BioE||2017-2019; NSF GRFP Honorable Mention||Insight Optics, MBA student at GT|
|Farahnaz Soleimani||Postdoc (w/ Susan Margulies)||2017-2018|
Selected undergraduates and interns:
|Zijing Wu||Undergrad – CS and Math||2020-2021|
|Max Dabagia||Undergrad – ECE||2018-2020; NSF GRFP, PURA Research Award||Ph.D. student in ACO at Georgia Tech|
|Amaal Abdi||High School Intern||2020-2021;||Undergrad, Wharton @ U Penn|
|Joseph Miano||Undergrad – CS||2018-2020; PURA Travel Award||M.S. in CS at Georgia Tech|
|Heather Whittaker||Undergrad – CS/BME||2018-2019|
|Alexis Webber||Undergrad – BME||2017-2019; Charles Hancock Award|
|Praveen Suthaharan||Biostatistics @ Emory||2018||Research Tech at Yale Med School|