Todd Hollon, MD

Principal Investigator

Bio: 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


Bio: 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 Resident

Bio: 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

Bio: 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

Cheng Jiang, BS

Master's student (Computer Science and Engineering, University of Michigan)

Bio: Cheng is a master's student in Computer Science & Engineering (CSE) at the University of Michigan. His interests are computer vision and machine learning, especially their applications in medicine and robotics. Cheng completed his undergraduate studies at the University of Michigan, where he also played tenor saxophone in the Michigan Marching Band.

Balaji Pandian

Medical Student (University of Michigan)

Bio: Balaji is an M4 MD/MBA applying into Anesthesiology. His work focuses on the intersection of computer science and clinical medicine to improve decision support, provider/system efficiency, and outcomes. He has a bachelors in computer science from Harvard University and has worked at several Silicon Valley startups

Sudharsan Srinivasan

Medical Student (University of Michigan)

Bio : Sudharsan is an M3 applying into Anesthesiology in fall 2021. His interests focus on the bridging artificial intelligence and clinical medicine to improve clinical decision making specifically in the domain of oncology. He has a B.S.E. and M.S.E. in biomedical engineering from the University of Michigan.

Sung Jik Cha

Medical Student (Western Michigan University)

Bio: 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)

Mark Farha

Medical Student (University of Michigan)

Arjun Adapa

Medical Student (University of Michigan)

Rachel Gologorsky

Medical Student (Mount Sinai)

Bio: 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.

Esteban Urias

Medical Student (University of Michigan)

Samir Harake

Medical Student (University of Michigan)

Daniel Alber

Undergraduate (Brown University)

Bio: Daniel is a third-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.

Akhil Kondepudi

Undergraduate (University of Michigan)

Bio: 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.