School of Medicine
Showing 21-40 of 89 Results
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Cellas Ari'ka Hayes
Postdoctoral Scholar, Epidemiology
BioCellas is currently a postdoctoral fellow/Propel scholar at Stanford University in the Department of Neurology and Neurological Sciences in a laboratory utilizing longitudinal data analysis and neuroimaging modalities to understand the aging brain, neuropathology, cognition, and Alzheimer’s Disease. Postdoctoral experience includes using R, Linux, and Python to perform data preprocessing, multivariate statistical analysis, and applying novel models for longitudinal continuous outcomes. Cellas received his Bachelor’s in Biology (2015-2019) and Doctor of Philosophy in Pharmaceutical Sciences with an emphasis in Pharmacology (2019-2022) from the University of Mississippi. As a doctoral candidate, his research focused on using both in vitro and in vivo approaches to further elucidate how neuroendocrine modulation specifically insulin-like growth factor-1 alters learning and memory performance along with ischemic stroke outcomes. Skills gained during doctoral training included in vitro cell culture, pharmacological experimental design of both in vitro and in vivo studies, development of transgenic mouse models, a wide array of rodent behavioral paradigms, stereotaxic surgery, photothrombosis, and numerous ex vivo cellular, molecular, and microscopy techniques.
My primary interests lie at the intersection of aging, neurodegenerative disease, and using longitudinal epidemiological data sets to investigate hypotheses. All around neuroscientist seeking sci-comm, industry, and academic opportunities to strengthen skills to become an independent investigator. -
Elisabeth Heremans
Postdoctoral Scholar, Psychiatry
BioI am a postdoctoral researcher at the Mignot Lab in Stanford University. My background is in biomedical engineering, signal processing and machine learning. I obtained a BSc and MSc degree from KU Leuven in 2017 and 2019, respectively. After this, I performed a research internship at École Polytechnique Fédérale De Lausanne in the Neuroengineering Lab. I did my PhD (2020-2024) under the supervision of Prof. Maarten De Vos, focusing on automated sleep staging using electroencephalography and polysomnography signals. During my PhD, I also performed a research stay at the University of Cambridge (van der Schaar lab) and an internship at Microsoft Research (in the Brain-Computer Interfaces project).
During my postdoc at the Mignot Lab, I aim to use large sleep datasets to find early markers of depression or other disorders related to sleep. My main research interest lies in the intersection between AI and neuroscience, and using AI for neuroscientific applications.
