Todd Hollon, MD

Principal Investigator

Dr. Todd Hollon is a neurosurgeon and research scientist who specializes in brain tumors. He is an Assistant Professor of Neurosurgery. He completed his postdoctoral training in the UM Translational Molecular Imaging Laboratory under the supervision of Drs. Daniel Orringer and Honglak Lee. His postdoctoral work focused on the application of deep neural networks to advanced imaging methods to improve the speed and accuracy of intraoperative brain tumor diagnosis. He hopes to be part of the next generation of young scientists that uses computation and machine learning to make scientific breakthroughs.

Sandra Camelo-Piragua, MD


Dr. Camelo-Piragua is a Clinical Associate Professor of Pathology and the Neuropathology Fellowship Program Director at the University of Michigan. She is a board certified and full-time practicing neuropathologist. She serves as an expert consultant for wide variety of neuropathologic conditions including brain tumor, CNS-infectious, neurodegenerative, nerve and muscle among others (~1500 cases per year). Dr. Camelo-Piragua is interested in development and implementation of digital pathology, telepathology and ex-vivo microscopy. Dr. Camelo-Piragua is a member and active participant in several national societies of pathology and digital pathology.

Siri Khalsa, MD

Co-Investigator, Neurosurgery Fellow

Siri Sahib S. Khalsa, MD, is a neurosurgery resident at the University of Michigan. Prior to medical school, he worked as a physicist on contract to Sandia National Laboratories. His research is focused on the application of computational modeling, artificial intelligence and robotics in neurosurgery.

Karen Eddy

Lab Manager

Karen received her Bachelor’s degree in Biology and Biotechnology in Ottawa, Canada. She enjoys lab management and working at the bench. She has worked for the Canadian government, Harvard University and Metabolix, Inc. She joined the Neurosurgery department in 2016.

Lin Wang

Laboratory Technician

Asadur Chowdury, MS

Machine Learning Engineer

Asadur is a machine learning engineer interested in exploring the effective usage of deep learning models in biomedical images to improve healthcare. He received his Masters of Applied Data Science from University of Michigan and Bachelors of Science in Neuroscience (cognitive) from Michigan State University. He hopes to see tricorder like systems in his lifetime.

PhD student (Computational Medicine and Bioinformatics, University of Michigan)

Cheng is a PhD student in the Department of Computational Medicine and Bioinformatics at the University of Michigan. His research focuses on computer vision, machine learning, and biomedical data science. He is especially interested in representation learning and integrating observations from multiple modalities. Cheng completed his undergraduate and master's studies at the University of Michigan Computer Science and Engineering, where he also played tenor saxophone in the Michigan Marching Band.

Xinhai (Renly) Hou

PhD student (Computational Medicine and Bioinformatics, University of Michigan)

Renly is interested in semi-supervised learning and representation learning in medical image application. He graduated from The Chinese University of Hong Kong, Shenzhen with a B.S. in Statistical Science and worked as machine learning engineer intern in Tencent before joining MLiNS.

Sung Jik Cha

Medical Student (Western Michigan University)

Sung Jik Cha is currently a medical student at the Western Michigan University, Homer Stryker MD School of Medicine. He is deeply interested in medical AI, neuroscience, medical imaging, and histology. He graduated from UC Berkeley with a degree in Computer Science and worked as a software engineer before beginning his journey in medicine.

Abhishek Bhattacharya

Medical Student (University of Michigan)

Rachel Gologorsky

Medical Student (Mount Sinai)

Rachel is interested in applying machine learning techniques to advance medicine. She completed her undergraduate studies at Harvard University, graduating summa cum laude with a joint degree in Computer Science & Mathematics.

Samir Harake

Medical Student (University of Michigan)

Daniel Alber

Undergraduate (Brown University)

Daniel is a fourth-year Applied Mathematics-Biology student at Brown University. He is interested in artificial intelligence and computational techniques in medicine. He plans to attend medical school after finishing his undergraduate studies.

Julia Rosander

Master's student (University of Michigan)

Julia is a Master’s student in Computational Medicine and Bioinformatics at the University of Michigan. Her interests include the application of bioinformatics and machine learning to neuroscience discovery. Julia completed her undergraduate studies in Neuroscience at the University of Michigan.

Akhil Kondepudi

Undergraduate (University of Michigan)

Akhil is an undergraduate at the University of Michigan studying neuroscience and computer science. His research interests lie in the field of biomedical informatics: specifically, how to use machine learning to better understand medical data in the form of images and text. Upon completing his undergraduate studies, Akhil intends to pursue a MD-PhD dual degree.

Rohan Kodati

Undergraduate (University of Michigan)

Rohan is an undergraduate studying computer science at the University of Michigan. His interests lie within artificial intelligence, machine learning, and their applications in other fields, especially medicine. Once he has graduated, Rohan would like to pursue an MS in computer science, specializing in artificial intelligence.