Team

Anthony Anzalone is an undergraduate research assistant, currently studying biological sciences at the University at Buffalo. Through his work he is hoping to not only thoroughly expand his knowledge of biology, but also how it intersects with computer science and data analytics. He is interested in gaining hands-on experience that is able to connect both experimental and computational approaches to neuroscience.

Debosmit is a graduate student in Computer Science at the University at Buffalo. His research focuses on Deep Learning, with applications in Computer Vision and Biomedical Engineering. He has published work in Computer Vision and Human-Computer Interaction. At the Roy Lab, he is exploring Computational Neuroscience by building brain-inspired Spiking Neural Network simulations. He is passionate about research and eager to collaborate with like-minded individuals.

Jay is an data scientist and AI enthusiast, with a strong passion for delving into data to unearth valuable insights. With budding expertise in statistical analysis and a growing toolkit of data science methodologies, he is dedicated to exploring and solving real-world problems through a data-driven lens. Eager to continuously learn and collaborate, for him, each step in this evolving domain is an opportunity for discovery and personal growth.

Keefe is an undergraduate research assistant pursuing a double major in Neuroscience and Psychology at the University at Buffalo. Through his work in the lab, he aims to help push the limits of neuroscience. His captivation with the brain stems from its complex and unknown nature as well as the interdisciplinary approaches looking to researching it. His interest lies in understanding the brain’s circuits and how they interact with the body and each other.

Kritik Kumar navigates the cutting edge of computational neuroscience with an impressive blend of technical prowess and innovative thinking. Educated at the University at Buffalo and Vellore Institute of Technology, his expertise spans machine learning to comprehensive data science, underpinned by a solid command of diverse programming languages. Kritik’s ability to translate complex theories into impactful technological solutions sets him apart.

Likhitha is a thesis-track graduate student in the Neuroscience Master’s program with a strong passion for animal research. Her work focuses on behavioral neuroscience, where she has demonstrated a deep commitment to understanding complex behavioral readouts in animal models. She brings scientific curiosity, technical skill, and compassion to her research, and remains dedicated to advancing the field despite unexpected challenges.

Madhumathan is a postdoctoral researcher with a proven academic background in Microbiology and valuable experience in microbiological and biochemical research. Has acquired diverse professional skills through studying, researching, and working in an academic environment. Presently working under Dr. Dheeraj Roy in the field of neuroscience and behavioral biology.

Martins is an undergraduate student majoring in Biological Sciences with a minor in Psychology. He has a deep interest in all aspects of the brain and is particularly fascinated by the connection between neural circuits and behavior. Martins hopes to continue exploring the field of behavioral neuroscience through hands-on research, coursework, and collaboration, with the goal of contributing to a deeper understanding of the brain and its role in shaping behavior.

Mary is an M.S. student studying Biostatistics & Bioinformatics. Received B.S. in Computational Science with a concentration in Computational Chemistry from Stevens Institute of Technology. Research interests include scRNA-seq data analysis and statistical genetics.

Mrudula Samant is going to be a senior at Lancaster High School this fall. She's interested in studying neuroscience, psychology, and biology when she goes to college. Her interest in the brain is what led her to shadowing at the Roy Lab over the summer. She hopes to either become a researcher or doctor later in life. She enjoys playing the flute, reading, and writing in her spare time.

Nirman Mukherjee is an undergraduate research assistant studying biomedical sciences at the Rochester Institute of Technology. Additionally, he is part of the BS/DO Early Acceptance Program through the Lake Erie College of Osteopathic Medicine. Nirman is deeply interested in the intersection of medicine and scientific discovery, particularly how various cellular and molecular processes contribute to analyzing health and disease from a preventative angle. He hopes to continue exploring biomedical research as he prepares for a future in osteopathic medicine.

Om is a graduate student in Data Science at the University at Buffalo focusing on machine learning, computer vision and deep learning. With a strong foundation in mathematics, statistics and computational modeling, he actively engages in projects related to machine learning, computer vision and advanced data visualization techniques. He has always had a keen interest in the application of machine learning and deep learning in healthcare. Outside of academics, he enjoys sports for the competitive spirit which he believes sharpens his focus and fosters strategic thinking. His current research interests include scRNA-seq data analysis.

Preyashi Chaudhuri is an undergraduate research assistant. She is studying biology and psychology at the University at Buffalo. She is fascinated by the brains role in behavior and hopes to continue learning more about behavioral neurosciences.

Sonny is a master's student in Data Science at the University at Buffalo with a strong interest in data analysis, deep learning, and computational neuroscience. He enjoys hands-on experiments, particularly involving mouse brain surgeries to collect neural data for modeling. Passionate about understanding the brain through data-driven methods, he bridges AI with neuroscience research and actively follows cutting-edge developments in the field. Outside the lab, he continues to self-learn and is a recreational equestrian.

Shaivi Pandey is a data scientist pursuing a Master’s in Data Sciences and Applications at the University at Buffalo. With a background in Computer Science from Birla Institute of Technology, she specializes in machine learning, data analytics, and software engineering. Her projects, like an entity matching system and sentiment analysis tool, highlight her ability to turn complex data into insights. She is passionate about applying data science to real-world challenges.

‍

Shantam is a grad student from the computer science department, currently working at the intersection of Machine Learning and Medicine. Having dabbled in quantitative finance and Investment Banking, Shantam enjoys mathematical complexity and thrives under pressure. He enjoys coding, especially designing engineering solutions to interesting problems and often explores new tools, frameworks, and technologies. He loves reading research papers in diverse fields and unwinds by meditating and playing the electric guitar in his free time.

‍

Sudip is an AI enthusiast pursuing his MS in Computer Science at the University at Buffalo. He holds a degree from BRAC University, where he focused on computer vision research. With two years of industry experience as a Database Engineer, he brings strong skills in data manipulation, cleaning, and analysis. At the Roy Lab, he applies his AI expertise to study neural changes in epilepsy, aiming to uncover insights and advance the field of neuroscience.

‍