Medha Ramaswamy is a Master’s student in Biomedical Engineering with a focus on Computational Medicine at Johns Hopkins University. She earned her B.Tech in Biotechnology from Vellore Institute of Technology, India. With a strong foundation in biology and data science, Medha is passionate about advancing medicine through computational tools. Her current research focuses on identifying EEG-based biomarkers for clozapine-resistant schizophrenia using dynamic network modeling. She is particularly interested in translational research that bridges laboratory discoveries with real-world clinical applications to improve patient outcomes. Outside of academics, Medha is a trained singer and recording artist.
Rathin K. Joshi
Rathin K. Joshi earned his PhD from the BEES Lab in the Electronic Systems Engineering department at the Indian Institute of Science (IISc), Bangalore. He holds a postgraduate degree in Information and Communication Technology from DA-IICT, Gandhinagar, and a bachelor’s degree in Electronics and Communications from GEC, Bhavnagar. Additionally, he has three years of pre-doctoral experience in modular logic development for the automotive industry.
He is a research-driven biomedical engineer with an interest in neural signal processing, brain-computer interfaces, and wearable neurotechnology. His research work bridges engineering and neuroscience, developing innovative tools for real-time EEG/ERP acquisition, signal analysis, and clinical translation. His research work has been recognized by several journals, conferences, patents, and hackathon competitions at regular intervals. With a strong foundation in neural signal processing and brain computer interfaces, he aims to contribute to impactful healthcare solutions through interdisciplinary collaboration, mentorship, and ethical research practices.
More information: https://rathin63.github.io/website/
Mateo Gurria
Mateo earned his BS in Cybersecurity from Harrisburg University of Science and Technology, where he also focused on Natural Language Processing. After graduating at 18, he joined the NCSL, where he has been researching biomarkers for chronic pain in EEG.
Ana Paola Garcia Alonzo
Surya Pandiaraju
Surya Pandiaraju is a PhD student in the Biomedical Engineering department at The Johns Hopkins University. He earned his undergraduate degree in BME from the University of Waterloo and has experience with neural data analysis in both industry and academic contexts. Surya is interested in translational research leveraging methods in neural signal processing and machine learning to improve tools and treatments for clinicians and patients.
Mahsa Khoshkhou
Mahsa Khoshkhou is a Postdoctoral researcher in the Biomedical Engineering Department at The Johns Hopkins University. She is analyzing intracranial EEG data to unravel how cognitive efforts suppress epilepsy seizures. Her research is advised by Professor Sridevi Sarma and Dr. Joon Yi-Kang, MD. She earned her BSc, MSc, and PhD in Physics from Shiraz University. She has been developing computational models of biologically inspired spiking neural networks for several years and served as a Postdoctoral researcher in computational neuroscience at Washington University School of Medicine and the Mind/Brain Institute at The Johns Hopkins University. Her research interests include neural synchronization, biological frameworks of reinforcement learning, and associative memory formation.
Rina Dirickson
Rina Dirickson is an undergraduate student majoring in neuroscience and biophysics. Drawing from her personal medical experience, she is interested in using both biological and computational methods to advance the treatment of epilepsy and psychogenic non-epileptic attacks. Outside of research she loves being involved in STEM educational outreach initiatives in Maryland.
Clara Lemaitre
Clara Lemaitre is a PhD candidate in the Biomedical Engineering Department at the Johns Hopkins University with a BE in Computer Engineering and a BS in Computer Science from the University of Minnesota – Twin Cities. At Hopkins, she is investigating biomarkers for neuropsychiatric disorders and is jointly advised by Sridevi Sarma and Adam Charles. Her research interests include neural signal processing, machine learning, and computational psychiatry.
Armelle Varillas
Armelle Varillas is an undergraduate student majoring in Biomedical Engineering. They plan to pursue a focus area in Medical Imaging and Devices with a connection to Artificial Intelligence. Outside of research, they enjoy playing ultimate frisbee, lifting weights, and are planning on becoming a personal trainer.











