School of Medicine

Showing 1-5 of 5 Results

  • Sara Pardej

    Sara Pardej

    Postdoctoral Scholar, Psychiatry

    BioSara Pardej earned her BA in Psychology and BS in Cognitive Science at Marquette University. Afterwards, she attended the Clinical Psychology Doctoral Program at the University of Wisconsin-Milwaukee under the mentorship of Dr. Bonita P. Klein-Tasman, where she earned both her MS and PhD in Clinical Psychology. There, she worked on several studies focusing on youth with neurofibromatosis type 1 (NF1), including behavioral phenotyping work, psychometric studies, and a social skills intervention study. Her dissertation study, which was funded by a Young Investigator Award from the Children's Tumor Foundation, focused on examining event related potentials using EEG by comparing children with NF1 to children with idiopathic ADHD and unaffected children. She completed her Doctoral Internship in Clinical Psychology at Penn State Health in Hershey, Pennsylvania. While at Penn State, she also worked on research examining safety and psychopathology in youth with ADHD and/or autism. Her clinical interest is neuropsychology, and her research interests include issues of psychometrics, behavioral phenotyping, and the neuropsychological development (and subsequent areas of intervention) of individuals with NF1 across the lifespan.

  • Yunji Park

    Yunji Park

    Postdoctoral Scholar, Psychiatry

  • Akshay Paruchuri

    Akshay Paruchuri

    Postdoctoral Scholar, Psychiatry
    AI4ALL Graduate Mentor, Stanford Pre-Collegiate Studies

    BioI'm a postdoctoral scholar at Stanford University, advised by Professor Ehsan Adeli. I'm affiliated with the Stanford Translational AI (STAI) Lab and the Stanford Vision and Learning (SVL) Lab. I earned my PhD in computer science at UNC Chapel Hill under the advisement of Professor Henry Fuchs. I build and evaluate multimodal AI systems, from general-purpose methods for interactive computing to applications in healthcare. Currently, I'm working toward a future where multimodal AI can safely and reliably integrate into healthcare systems in order to improve the entire patient journey, from advanced diagnostic imaging and surgical support to all-day health monitoring and management, with the aim to achieve better therapeutic outcomes for cancer and aging-related diseases. I'm generally interested in opportunities that would allow me to continue to deepen my research expertise while leading and working on projects that benefit people everywhere, whether through foundational research, real-world products, or shaping how these systems are evaluated and deployed.

    Previously, I was a visiting researcher at IDSIA USI-SUPSI working with Professor Piotr Didyk on the interpretability of multimodal language models (MLMs) with respect to capabilities such as visual perception. I've published in leading venues on topics such as remote health sensing (WACV, NeurIPS), 3D reconstruction (ECCV, MICCAI), LLM-based conversational agents for personal health (EMNLP, Nature Communications), and energy-efficient operation of smart glasses (ISMAR). I've done internships at Google AR/VR, Google Consumer Health Research, and Kitware.

  • Adam Pines

    Adam Pines

    Postdoctoral Scholar, Psychiatry

    BioAdam Pines, Ph.D., is a postdoctoral fellow with Drs. Anish Mitra and Nolan Williams, PhD. Adam completed his Ph.D. in Neuroscience at the University of Pennsylvania in Philadelphia. Adam’s work centers on neurodevelopment and the role of hierarchical brain function in mood disorder emergence and remission.

  • Julia Rachel Plank

    Julia Rachel Plank

    Postdoctoral Scholar, Psychiatry

    BioI am a postdoctoral researcher in the BRain Imaging, Development, and GEnetics (BRIDGE) Laboratory in the Department of Psychiatry and Behavioral Sciences. Currently my work focuses on the use of magnetic resonance imaging (MRI) for improving understanding of the neuropathophysiology underlying neuropsychiatric disorders with a genetic basis.

    My PhD investigated the use of neuroimaging techniques (diffusion MRI, quantitative magnetization transfer, magnetic resonance spectroscopic imaging, electroencephalography) for detection of neuroinflammation in human participants.

    My research interests are centered on the clinical applications of MRI for elucidation of pathology and improving diagnosis and treatment.