PhD Candidate, Computational Neuroscience
Graduate Program for Neuroscience
Cognitive Neuroimaging Lab

BS, magna cum laude, Thesis Honors
Cognitive & Brain Science and Computer Science
Senior Honors Thesis: Optimizing fPET-FDG [report][poster]


Gilbert, et al. 2018.
The Journal of Clinical Investigation
[Supplemental Data]

Strebl, et al. 2017.
ACS Central Science
[Supporting Info]

Placzek, et al. 2016.
Seminars in Nuclear Medicine


Morin, Moore, & Stern. CNS
Online Due to COVID-19 • 2020

Morin, Chang, & Stern. SfN
Chicago, IL • 2019

Ma, Morin, & Stern. SfN
Chicago, IL • 2019

Morin, Chang, & Stern. BU Russek Student Acheivment Day
Boston, MA • 2019

Cohen, Morin, & Stern. CNS
Boston, MA • 2018

Morin & Wey. Tufts CBS Symposium
Medford, MA • 2017


Guest Speaker, PSY 9 Course
Tufts University

Medford, MA • 2020

BU GPN Annual Retreat
Essex, MA • 2019

Guest Speaker, PSY 9 Course
Tufts University

Medford, MA • 2018

O4U Engineering
Palo Alto, CA • 2016


Teaching Experience

Honors & Awards


  • Programming Languages:
  • "Fluent" with: C/C++, Python, MATLAB, Shell Scripting
    Experience with: HTML/CSS, R, Lisp

  • Neuroimaging Software:
  • FSL, Freesurfer, AFNI, PMOD, Mango

  • Methodology:
  • PET, MRI, and EEG study design, data collection, & analysis
    Machine Learning for analysis of functional connectivity data
    Implementation of Kinetic Models for PET data