Ratan is an Assistant Professor of Cognition and Brain Science in the School of Psychology at Georgia Tech, and the Director of the Murty Lab (murtylab.com). He obtained his PhD from Indian Institute of Science (IISc) Bangalore and was a postdoctoral researcher in the Kanwisher and DiCarlo labs at MIT before moving to Georgia Tech. Research in the Murty Lab aims to uncover the neural codes and algorithms that enable us to see. The central theme of the lab's work is to integrate biological vision with artificial models of vision. The lab combines the benefits of closed-loop experimental testing (using 3T/7T human functional-MRI) with cutting-edge computational methods (like deep neural networks, generative algorithms, and AI interpretability) toward a new computationally precise understanding of human vision. This research also guides the development of neurally mechanistic biologically constrained models aimed to uncover a better understanding of the neurobiological changes that underlie perceptual abnormalities such as agnosias.

Dr. Simone Douglas-Green (@DrBlackBoots on Twitter/X and Instagram) is a new Assistant Professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, where she has been named a BME Distinguished Faculty Fellow. She received her B.S. in Biomedical Engineering from the University of Miami, and her Ph.D. in Biomedical Engineering from the joint program at Georgia Tech and Emory University. Dr. Douglas-Green’s professional and scholarly development as a doctoral and postdoctoral trainee has been supported by a number of awards including the Alfred P. Sloan Foundation's Minority Ph.D. (MPHD) Fellowship, NASEM Ford Foundation Postdoctoral Fellowship, and Burroughs Wellcome Fund Postdoctoral Enrichment Program (PDEP). The Douglas-Green Lab focuses on developing tools/techniques to study how biology interacts with nanoparticles with an emphasis on understanding person and disease specific proteins coronas. Her goal is to train the next generation of engineers to be “EPIC”- engineering with purpose, inclusivity and compassion.

Biography
Research Interests

Previously an associate professor of chemical & environmental engineering, biomedical engineering, and molecular biophysics and biochemistry at Yale University, Wilson joined Georgia Tech in 2016.   His research group focuses on establishing an integrated experimental and computational framework to translate our understanding of the fundamental principles of biophysics and biochemistry (i.e., the physicochemical properties that confer function) into useful processes, devices, therapies, and diagnostics that will benefit society.
Education
PhD, Rice University

Education
B.S., Chemistry, Massachusetts Institute of Technology, 2004; B.S., Aerospace Engineering, Massachusetts Institute of Technology, 2004; M.A., Chemistry, Brown University, 2006; Ph.D., Chemistry, University of California Berkeley, 2010

Research
Dr. Stockton joined the School of Chemistry and Biochemistry at the Georgia Institute of Technology in January 2015. Her research plans include (1) instrument development for in situ organic analysis in the search for extraterrestrial life, (2) microfluidic approaches to experimentally evaluating hypotheses on the origin of biomolecules and the emergence of life, and (3) terrestrial applications of these technologies for environmental analysis and point-of-care diagnostics.

Educational Experience:
Doctor of Philosophy, December 2009, Georgia Institute of Technology (Bioengineering), Masters of Science, May 2003, Brown University (Bioengineering), Bachelor of Science, May 2002, Brown University (Mechanical Engineering)
Research Interests:
Wheeled mobility and seating, Pressure ulcer prevention and early detection, Assistive technology, Rehabilitation engineering.

Svjetlana Miocinovic is a board-certified neurologist specializing in Parkinson’s disease, dystonia, tremor and other movement disorders. She graduated from medical school in 2009 at Case Western Reserve University (Cleveland, Ohio) where she also obtained a PhD in biomedical engineering. She completed neurology residency and clinical movement disorders fellowship at University of Texas Southwestern Medical Center (Dallas, Texas). Her post-doctoral training and clinical research fellowship were at the University of California San Francisco Movement Disorder and Neuromodulation Center. In 2016, she joined the Department of Neurology at Emory University (Atlanta, Georgia). Her clinical focus is on using deep brain stimulations (DBS) to treat movement disorders. She also directs an NIH-funded human electrophysiology laboratory and is an investigator with Emory's Udall Parkinson's Disease Research Center of Excellence. The research focus of her laboratory is on electrophysiology of human motor and non-motor circuits, and development of new device-based therapies. 

Jing Li is a Virginia C. and Joseph C. Mello Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering and a core faculty in the Center for Machine Learning at Georgia Tech. Prior to joining Georgia Tech in 2020, she was a Professor at Arizona State University and is a co-founder of the ASU-Mayo Clinic Center for Innovative Imaging.

Dr. Li’s research develops statistical machine learning algorithms for modeling and inference of complex-structured datasets with high dimensionality (e.g., 3D/4D images), multi-modality, and  heterogeneity. The objectives of the methodological developments are to provide capacities for monitoring & change detection, diagnosis, and prediction & prognosis. The application domains mainly include health and medicine, focusing on medical image data analytics as well as fusion of images, genomics, and clinical records for personalized and precision medicine. Her research outcomes support clinical decision making for diagnosis, prognosis, and telemedicine for various conditions affecting the brain, such as brain cancer, post-traumatic headache & migraine, traumatic brain injury, and the Alzheimer’s disease. Her research received Best Paper awards from various professional venues such as IISE Transactions, IISE Annual Conferences, INFORMS Data Mining and Decision Analytics, American Academy of Neurology, America Headache Society, etc. Her research has been funded by the NIH, NSF, DOD, and industries. She is an NSF CAREER Awardee.

Dr. Li is a former Chair for the Data Mining Subdivision of INFORMS. She is currently a Senior Editor for IEEE Transactions on Automation Science and Engineering and a Department Editor for IISE Transactions on Healthcare Systems Engineering.

Anthony B. Law, MD, PhD, is an assistant professor in the Department of Otolaryngology at Emory University School of Medicine. A board certified head and neck surgeon, Dr. Law's clinical interest include the diagnosis and treatment of diseases and pathology of the upper aerodigestive tract, particularly laryngeal cancer. He treats disorders involving voice, airway, and swallowing using a wide array of techniques ranging from open surgery, endoscopic minimally invasive surgery, and laser surgery.

Dr. Law earned his MD and also his PhD in biophysics and biochemistry from the University of North Carolina in Chapel Hill, NC. He completed his residency in otolaryngology/head & neck surgery and his fellowship in laryngology at University of Washington in Seattle, WA.

Dr. Law's primary research interests lay in modeling of complex biology and clinical systems. He has broad experience in mathematical modeling and computational models. Historically, he has used machine learning to predict rates and locations of metastasis in head and neck squamous cell carcinoma. His current focus is in applying machine learning to characterize and categorize pathology of the larynx.