Stanford University


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  • Nicholas Siemons

    Nicholas Siemons

    Research Engineer, Precourt Institute for Energy
    Postdoctoral Scholar, Materials Science and Engineering

    BioNicholas began his academic career by studying integrated Masters at University College, London. During this time he published his first article, "Multiple exciton generation in nanostructures for advanced photovoltaic cells" - a review of how to produce photovoltaics with greater than 100% internal efficiencies. Following this Nicholas began research into solar voltaics and organic batteries in the group of Prof. Jenny Nelson at Imperial College, London. During this time Nicholas developed his keen interest in how to relate the chemical design of polymers to their ability to function as battery electrode materials. To achieve this goal, Nicholas applies atomistic simulation methods to such polymer systems, and relates the simulated findings to experimental results, bridging the gap between chemistry and device properties. As well as linking molecular chemical design to device performance, Nicholas applies novel simulation and analysis methodologies to study these systems, including Molecular Dynamics, Density Functional Theory, Molecular Metadynamics and Network Analysis.

  • Pilleriin Sikka

    Pilleriin Sikka

    Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine

    Current Research and Scholarly InterestsWhat makes certain experiences transformative, and how can we harness them to support resilience and mental health? I explore this question by studying emotions across various states of consciousness—waking, dreaming, anesthesia, psychedelics, and meditation. With a background in psychology, neuroscience, and anesthesiology, I bring together methods that are rarely combined: daily diaries and surveys, language and narrative analysis, neurophysiological recordings, lab experiments, and clinical trials. My work has three main aims: (1) to understand how affective experiences unfold across states; (2) to test whether these experiences can be deliberately shaped to support mental health; and (3) to identify the mechanisms that make them transformative. This interdisciplinary approach has led to the first controlled studies of anesthesia-induced dreams for trauma, new insights into peace of mind and emotion regulation, and cross-state comparisons showing how affective experiences in altered states can foster resilience. My long-term goal is to develop a new frontier in affective science: the study of how transformative experiences across different states of mind can improve well-being.

  • Taianá Silva Pinheiro

    Taianá Silva Pinheiro

    Graduate Visiting Researcher Student, Education

    BioTaianá Silva Pinheiro holds a degree in Mathematics and a Master’s in Mathematics Education. She is a Ph.D. candidate in Mathematics and Technological Education at the Federal University of Pernambuco (UFPE), Brazil, and a faculty member at the Federal University of Southern Bahia (UFSB). Her research interests include curriculum, Financial Education, and mathematics teacher education.

  • Benjamin Singer

    Benjamin Singer

    Member, Maternal & Child Health Research Institute (MCHRI)

    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.