School of Medicine
Showing 1,241-1,250 of 1,636 Results
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Pilleriin Sikka
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsI strive to understand the phenomenology, dynamics, mechanisms, and impact of subjective experiences that occur across different states of consciousness—from wakefulness to normal sleep and dreaming, to anesthesia dreaming, and to psychedelic experiences. As part of my doctoral research, conducted under the mentorship of Prof. Antti Revonsuo, I investigated the conceptual and methodological challenges in the study of dream experiences, the neural correlates of these experiences, and how dreaming is associated with waking well-being. In 2021, I joined Stanford University as a Postdoctoral Scholar, initially working at the Stanford Psychophysiology Laboratory under the mentorship of James J. Gross. In this role, I expanded my research to explore emotions and emotion regulation across the wake-sleep cycle and to study an oft-overlooked aspect of well-being--peace of mind. Since November 2023, I have been a Postdoctoral Scholar in the Department of Anesthesiology, Perioperative and Pain Medicine, where, under the mentorship of Dr. Boris Heifets, I am investigating transformative experiences, specifically, the mechanisms and therapeutic potential of anesthesia-induced dream states and psychedelic experiences.
Leveraging my unique multidisciplinary background, my goal is to bridge the fields of consciousness research, sleep and dream research, emotion research, and well-being research and draw upon the concepts, theories, and methods from psychology, neuroscience, and (molecular) biology. To this end, I have experience in using diverse methods, including self-reports (development, validation, and use of questionnaires), interviews, ecological momentary assessment (EMA/ESM; diaries), behavioural experiments, natural language processing, sleep monitoring techniques, and electrophysiological (EEG/ERP) recordings, combined with qualitative and quantitative data analysis.
With an overarching goal of conducting research with societal impact, I aspire to: (1) develop innovative diagnostic and prognostic markers of mental health and well-being, and (2) to devise and test interventions scalable for enhancing the mental and physical well-being of communities. -
Benjamin Singer
Postdoctoral Scholar, Infectious Diseases
BioBen Singer is a postdoctoral scholar with interests in mathematical epidemiology and global public health. Ben's research career began with an internship at the Okinawa Institute of Science and Technology, where he applied quantitative skills he had learnt studying physics at the University of Oxford to the study of nematode locomotion. Ben further pursued quantitative methods in life sciences in the Interdisciplinary Bioscience Doctoral Training Partnership at the University of Oxford, earning a DPhil (PhD equivalent) in mathematical methods for evaluating pandemic risk and control. During these studies he maintained an interest in global public health policy, interning with the UK government's Department for International Development, where he developed models of international COVID-19 vaccine distribution. Ben is now working in Nathan Lo's research group at Stanford, creating infectious disease models informing public health policy for schistosomiasis, hepatitis E, and other infections.
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Gulshan Singh
Postdoctoral Scholar, Gastroenterology
Current Research and Scholarly InterestsMy current research interest is to understand the host-microbial pathways in intestinal inflammation. I am working to explore cellular heterogeneity at single immune cell level in systemic and local regions of the intestine that are associated with different Inflammatory bowel disease conditions.
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Shashi Singh
Postdoctoral Scholar, Radiology
BioAs a postdoctoral scholar at Stanford University's Department of Radiology (2023-Present), I am privileged to contribute to Dr. Heike E. Daldrup-Link's laboratory, focusing on clinical and translational molecular imaging research. My endeavors deal with the development and application of artificial intelligence algorithms aimed at automated detection and monitoring treatment response of pediatric cancers, such as lymphoma and sarcomas, using PET and MRI. This includes the application of AI in multimodal pediatric lymphoma detection, automating the Deauville score, and predicting the post-chemotherapy response in pediatric osteosarcomas using PET and MRI. I am also studying the effects of iron-oxide nanoparticles on tumor-associated macrophages in osteosarcoma using Ferumoxytol-enhanced-MRI.
I served as a physician in Nepal for two years (2019-2021), which deepened my understanding of complex diseases like cancers and infectious and inflammatory disorders. Later, I worked as a research scholar at the Hospital of the University of Pennsylvania (2021-2023) where I worked with PET/CT imaging across various studies using novel radiotracers such as FDG, NaF, PSMA, and DOTATATE. My research at UPenn primarily focused on PET/CT imaging of hematological malignancies. I assessed the potential of PET/CT in CAR-T cell therapy for lymphoma and multiple myeloma and analyzed the efficacy of hematopoietic stem cell transplantation in multiple myeloma. I also studied dual time point imaging for Hodgkin's and non-Hodgkin's lymphoma using total-body FDG PET/CT. Beyond oncology, my research broadened to include PET/CT applications in aging, musculoskeletal, neurological, psychiatric, and cardiovascular diseases.
Each phase of my career has deepened my resolve to harness the power of imaging and artificial intelligence to revolutionize clinical management, honoring my commitment to patient care and groundbreaking scientific research. The significant potential of the application of artificial intelligence with both - structural (CT and MRI) and molecular (PET) imaging modalities has spurred my interest in utilizing AI to refine disease diagnosis and monitoring processes. I envision being a physician-scientist at the intersection of advanced clinical imaging and AI-based innovation, developing cutting-edge tools for early and accurate disease diagnosis and management. I believe that my contributions signify my commitment to this vision.
