Professor of Neurosurgery, Cullen Foundation Endowed Chair, McNair Scholar, Vice-Chair of Clinical Research, and Director of Psychiatric Neurosurgery at Baylor College of Medicine. Director of Gordon and Mary Cain Pediatric Neurology Research Foundation Laboratories at Texas Children’s Hospital. Adjunct Professor in the Department of Electrical and Computer Engineering at Rice University.

I am honored to serve as the Baylor Stereotactic and Functional Neurosurgery Fellow. My clinical and research interests center on image-guided neurosurgery, particularly its application to neuromodulation therapies. Clinically, I am drawn to refining treatments for patients with movement disorders, psychiatric disorders, epilepsy, and chronic pain. My current research focuses on using neuroimaging and electrophysiological measures to identify biomarkers of treatment response; that can help determine which patients are most likely to benefit from surgical interventions and guide how those interventions are delivered. I received my medical degree from K.J. Somaiya Medical College in Mumbai, India, and completed my neurosurgery residency at the Zucker School of Medicine at Hofstra/Northwell Health. My research training includes a PhD from the Elmezzi Graduate School of Molecular Medicine at the Feinstein Institutes, where I studied network biomarkers in Parkinson's disease, and a postdoctoral research fellowship in the Surgical Planning Laboratory and Image-Guided Neurosurgery Laboratory at Brigham and Women's Hospital/Harvard Medical School.

Over the last seven years, my research efforts have focused on examining brain mechanisms that underlie induced and natural human behaviors. I am especially interested in brain neuroplasticity, neuromodulation, and translational research that can improve day-to-day behaviors. My most recent research focuses on investigating multisensory integration in speech perception such as watching speech videos and short movies, measured by direct (i.e., intracranial electroencephalography/iEEG) and indirect (i.e., BOLD fMRI) neuroimaging techniques. Many everyday tasks require us to integrate information from multiple modalities, such as during conversation when we make use of both the auditory information we hear in spoken speech and the visual information from the facial movements of the talker. This is especially important under conditions in which one modality is degraded, such as in a noisy room, or in hearing loss conditions. iEEG and BOLD fMRI techniques have offered the best combination of spatial and temporal resolution for this purpose. After joining the Sheth lab, I hope to further expand my work to investigate the role of mood and attention in speech perception.

I completed an undergraduate degree in Physics at the University of California Santa Barbara, and then a PhD in Neuroscience at the University of Washington. During my PhD work, I studied deep brain stimulation for motor disorders, with a particular focus on longitudinal monitoring and the remote chronic monitoring and data management systems this sort of data collection requires. In my free time, I am an avid climber, skier and sailor.

I hold an M.S. in Data Science from Columbia University and a B.A. in Data Science from UC Berkeley with a focus on Business/Industrial Analytics. My professional background includes deep learning, machine learning, software engineering, and Data Science related projects. Currently, I collaborate with lab members on projects involving video synchronization, TRBD dashboard setup, and data archiving.

We use high density electrocorticography (ECoG) to capture neural oscillations, and we use microelectrodes to measure action potentials while people play games designed to test certain mental skills. A key goal is to understand how our brain cells seem to almost effortlessly work together to rapidly convert abstract mental representations into actions. We combine conventional neuroscience techniques with machine learning to answer these questions. I am also working on a project involving deep brain stimulation (DBS) for treatment of major depression. We are seeking to learn more about the brain activity that underlies depression, while developing patient-specific stimulation protocols.

I earned my PhD in cognitive neuroscience from the State Key Lab of Cognitive Neuroscience and Learning at Beijing Normal University in 2022. I was the MnDrive postdoc at the University of Minnesota from 2022-2025. My research interests include human decision-making dilemmas, naturalistic social interaction (applying game theory and conversation analysis), and studying brain activity from single-neuron recordings, LFP, and fMRI combined with computational modeling. My work aims to understand the biological basis of mental illness and develop potential neuromodulation treatments. The secrets of intelligence, affect, and beauty may lie in the spikes. I try to complete one full marathon every year.

I completed my PhD in biomedical engineering and M.S. in electrical and computer engineering at Emory University and Georgia Tech, and undergraduate in engineering at Cornell University. My research interests include building algorithms and closed-loop systems for precision control of brain activity to aid treatment in neuropsychiatry, Parkinson's disease, and epilepsy, and improve causal understanding of cognitive neural systems. I also enjoy playing piano and writing original music.

I received my B.S. in psychology from the University of Houston and my M.S. in Clinical Mental Health Counseling at the University of St. Thomas. I provide both administrative and practical support for Sheth Lab’s research projects and goals by helping manage IRBs, ensuring adherence to regulatory bodies, assisting in data gathering and maintenance, and handling patient communication and retention.

I create visualizations of the intracranial electrodes that are implanted in our research patients and manage tasks at the EMU across our research team. I graduated from Rice University in 2019 with a bachelor’s degree in Cognitive Science. I am interested in learning more about the nature of complex human cognitive functions and the integration of different academic fields through research. In my spare time I enjoy dancing, going to concerts, and spending time with family.

In 2021 I received my B.S. in Biology from Emory University and have since worked as an AmeriCorps VISTA service member in a free clinic and as a medical scribe in rural and urban safety-net clinics. Those two experiences exposed me to many different types of psychiatric and neurological disorders and conditions, and the great impact these conditions can have on patient’s lives, especially if they are treatment resistant. I joined Dr. Sheth’s lab to contribute to the discovery and investigation of new treatments aimed at helping and improving the quality of life these patients experience.

I received my B.S. in neuroscience from Duke University in 2014, then worked as a Research Assistant on the Healthy Brain Network at the Child Mind Institute and Research Manager for the Human Connectome Project at Harvard University before starting my M.D.-Ph.D at BCM in 2020. Clinically, I am interested in neurosurgery and am particularly excited about the career’s unique opportunity to simultaneously treat and better understand the human brain. Scientifically, I am interested in uncovering the physiological mechanisms that underlie mood, cognition, and behavior in order to identify neural signatures of pathological vs healthy states. As a Ph.D candidate in the Quantitative and Computational Biosciences program, I hope to use novel methods for decoding, interpreting, and representing neural signals. Ultimately, I hope this work will enable more effective, individualized treatments. I am extremely grateful to work with this fun, talented, and diverse team, as well as the many collaborators that make this important research possible.

I am a graduate student co-mentored between Dr. Sameer Sheth and Dr. Andreas Tolias (formerly BCM, now Stanford). A member of the BCM MSTP, I am an aspiring neurologist with a particular interest in epilepsy, and the neural correlates of neurological disease more generally. After completing my undergraduate studies at Yale in 2016, I worked for Dr. David McCormick for 4 years, helping to manage his lab's transition from Yale School of Medicine to the University of Oregon Institute of Neuroscience. I also served as a visiting scholar at Oregon and Health and Science University in Portland where I contributed to the research of Dr. Lia Ernst. In mice, I have contributed to work on the state-dependence of visual evoked responses, auditory foraging as well as the state-dependence of vagus nerve stimulation. In humans, I have investigated the neural correlates of vagus nerve stimulation, as recorded by the Responsive Neurostimulation System. The focus of my doctoral work is building data-driven models of neural responses to complex stimulation in a rodent model of epilepsy. Outside of lab, I am a classically trained tenor who made my Spotify debut in 2024 with the Houston Chamber Choir. The rest of my time is spent either cooking or enjoying the company of close friends and loved ones.

I am a PhD student in the Quantitative and Computational Biosciences program at Baylor College of Medicine. I completed my BS in Physics (Biomedical) with honors from Portland State University and my MS in Bioinformatics from Johns Hopkins University, where I focused on neuroinformatics and systems neuroscience research for my thesis work. Prior to joining the Sheth Lab, I worked in a neurosurgical research setting where I applied machine learning to neuroimaging data and helped develop a security protocol for an online neuroprosthetic system. My research in the Sheth Lab focuses on semantic decoding from the human prefrontal cortex using Neuropixels recordings, with a particular interest in addressing decoder instability through arousal-adaptive decoding strategies.

I received my B.S. in Bioinformatics from the University of California San Diego and my M.S. in Computational Biology and Quantitative Genetics from Harvard University. I am currently pursuing my Ph.D. in Quantitative & Computational Biology at Baylor College of Medicine, where my research focuses on the semantic integration of multimodal inputs. I am broadly interested in the neural mechanisms underlying natural human behavior.

I am a third-year medical student at Baylor College of Medicine interested in pursuing neurosurgery, and I am currently in the Medical Research Pathway. I obtained my undergraduate degree in biology from the University of Oklahoma. My research interests include leveraging deep brain stimulation techniques in the treatment of psychiatric disorders, with the goal of understanding their mechanistic underpinnings to ultimately improve treatment for patients with these conditions. Outside of research and clinical interests, I enjoy looking for the best espresso in Houston! Upon completion of this year, I will complete my medical degree with the Class of 2028.

I graduated from the University of Texas this May with a B.S. in Neuroscience. I’m excited to explore the functional side of neuroscience and particularly the underlying mechanisms behind neurodegeneration and neuropsychiatric disorders.

I graduated from Princeton University with a B.S.E. in Operations Research and Financial Engineering with certificates in computer science and clarinet performance. As an undergraduate, my research focuses were in bioinformatics and computational biology, specifically on designing and improving algorithms used to solve biological problems. I’m excited to join the Sheth lab and further my interests in how data can be leveraged to better understand neuroanatomy and physiology. Furthermore, I look forward to working on patient-facing studies to better understand the applications of technologies like DBS and sEEG in the clinical field. In my free time, I enjoy video editing and am an avid Beli user.