CV

Education

• B.A. magna cum laude with highest honors in Computer Science, Harvard University, 2021
  • Track: Mind, Brain & Behavior
  • Secondary Field: Mathematical Sciences
  • Thesis: Precomputed Human Connectome for Brain Lesion Network Mapping, Lesion Segmentation, and Predictive Modeling of Stroke Symptoms

Work experience

• May 2021 - : Data Analyst
  • Brigham and Women’s Hospital
  • Created the Precomputed Functional Connectome Toolkit, a method that enables functional lesion network mapping for massive datasets and voxel-wise analysis of functional brain networks
  • Constructed computational pipelines for structural connectivity analysis of brain lesions
  • Developed a computational pipeline for functional connectivity analysis of brain cortical surface atrophy
  • Built computational research infrastructure at the Center for Brain Circuit Therapeutics
  • Collaborated to discover functional and structural brain networks associated with addiction, epilepsy, headache, and pathological laughter through analysis of neuroimaging research data
  • Administered clinical TMS treatments for depression patients
  • Performed patient evaluations in clinical research trials
• August 2020 - May 2021: Research Trainee
  • Brigham and Women’s Hospital
  • Performed independent research at the Center for Brain Circuit Therapeutics
  • Developed a precomputed human brain connectome and a predictive model to predict stroke symptoms
• March 2019 - August 2020: Student Researcher
  • Beth Israel Deaconess Medical Center
  • Performed independent research at the Berenson-Allen Center for Noninvasive Brain Stimulation
  • Developed computational methods to create resting state functional connectivity maps of the brain to aid in non-invasive stimulation target identification
  • Attended the Intensive Course in Transcranial Magnetic Stimulation (TMS) at the Berenson-Allen Center for Noninvasive Brain Stimulation, and learned how to administer TMS treatment and how to design TMS clinical studies
• May 2018 - August 2018: Biomedical Research Intern
  • Medtronic
  • Developed research and test applications for Summit RC+S implantable neurostimulator system
  • Designed & performed in-vivo and in-vitro experiments and animal studies at Physiological Research Lab
  • Presented a research paper on the development of a Deep Brain Stimulation Monitoring System at the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
• December 2015 - September 2016
  • Medtronic
  • Developed closed-loop deep brain stimulation algorithms for implantable neurostimulators to treat Parkinson’s disease
  • Evaluated the Muse brain sensing headband for wearable EEG capability in comparison with a clinical EEG (BIS Vista Brain Monitoring System) to conduct brain signal analysis and provide brain activity level feedback for depression therapy
  • Presented a poster on the development of a brain-sensing algorithm at the 38th IEEE Annual International Conference of the Engineering in Medicine and Biology Society, 2016

Publications

A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders

S. Stanslaski, J. Herron, T. Chouinard, D. Bourget, B. Isaacson, V. Kremen, E. Opri, W. Drew, B. H. Brinkmann, A. Gunduz, T. Adamski, G. A. Worrell, T. Denison. "A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders" IEEE Transactions on Biomedical Circuits and Systems 12, no. 6 (2018). 1230–45.

A Translational Wireless Deep Brain Stimulation Monitoring System for Chronic Brain Signal Recording to Automate Neural Disorder Onset Recording

W. Drew, T. Denison, and S. Stanslaski. "A Translational Wireless Deep Brain Stimulation Monitoring System for Chronic Brain Signal Recording to Automate Neural Disorder Onset Recording." Proceedings of 32nd IEEE International Symposium on Computer-Based Medical Systems (CBMS). (2019).

Brain lesions disrupting addiction map to a common human brain circuit

J. Joutsa, K. Moussawi, S. H. Siddiqi, A. Abdolahi, W. Drew, A. L. Cohen, T. J. Ross, H. U. Deshpande, H. Z. Wang, J. Bruss, E. A. Stein, N. D. Wolkow, J. H. Grafman, E. van Vijngaarden, A. D. Boes, M. D. Fox. "Brain lesions disrupting addiction map to a common human brain circuit" Nat Med. 1249-1255(2022). https://doi.org/10.1038/s41591-022-01834-y