Akshay Jaggi
Harvard-MIT Entering 2021 (MD-PhD)
Fulbright Spain Entering 2019 (Bioinformatics @ BCN-AIM)
Stanford '19 (BS Bio/CS)
Welcome!
I'm an MD-PhD student at Harvard and MIT in the Health Sciences & Technology (HST) Track. I'm interested in computer vision applications in ethology, dimensionality reduction of neural data, and systems neuro more broadly. Clinically, I plan to work in psychiatry or neurology, with a special interest in movement disorders.
Most recently, I have joined the Harvey Lab for my PhD lab. Previously I rotated with the Harvey Lab developing a new method for mouse 3D pose estimation with Jim Bohnslav, the Sabatini Lab building a brain machine interface for mice with Richard Hakim, and the Metaconscious Group modeling how the basal ganglia might support cortical learning with Guangyu Robert Yang.
In 2020-2021, I worked as a data engineer for U19 Team Dope, a cross institutional collaboration developing a unified theory of dopamine in the basal ganglia. I primarily worked in the Datta Lab where I developed methods for quantification of mouse facial expression in collaboration with Richard Hakim (Sabatini Lab) and Alex Williams (Linderman Lab). I also formed the Neurodata Without Borders Complex Behavior working group and built tools to standardize neuroethological data storage.
From 2019-2020, I pursued a Fulbright Research Grant in Barcelona in Karim Lekadir's group at the University of Barcelona. There, I studied how heart and brain structural variation might explain associations between cardiovascular risk and cognitive function in the UK Biobank.
Before the Fulbright, I graduated Phi Beta Kappa from Stanford with a BS in Biology with Honors and Distinction in Computational Biology. At Stanford, I started my research career developing models of linguistic disjunction acquisition with Masoud Jasbi in Michael Frank's lab. I completed my main thesis work on radiological image quantification and classification in Sandy Napel's group. I won the Angela Lee Undergraduate Research Award for this work. After my thesis, I worked with Maja Djurisic in the Carla Shatz's lab to study the role of immune molecules in synaptic plasticity and development.
Computational Neuroscience
ArMo: An Articulated Mesh Approach for Mouse 3D Reconstruction
Preprint, 2023
James P. Bohnslav*, Mohammed Abdal Monium Osman*, Akshay Jaggi*, Sofia Soares, Caleb Weinreb, Sandeep Robert Datta, Christopher D. Harvey
Medical Imaging
A structural heart-brain axis mediates the association between cardiovascular risk and cognitive function
Imaging Neuroscience, 2024
Akshay Jaggi, Eleanor L.S. Conole, Zahra Raisi-Estabragh, Polyxeni Gkontra, Celeste McCracken, Liliana Szabo, Stefan Neubauer, Steffen E. Petersen, Simon R. Cox, Karim Lekadir
Cardiac Magnetic Resonance Radiomics Reveal Differential Impact of Sex, Age, and Vascular Risk Factors on Cardiac Structure and Myocardial Tissue
Front. Cardio. Med., 2021
Zahra Raisi-Estabragh*, Akshay Jaggi*, Polyxeni Gkontra, Celeste McCracken, Nay Aung, Patricia Bernadette Munroe, Stefan Neubauer, Nicholas C Harvey, Karim Lekadir, Steffen Erhard Petersen
Quantitative image features from radiomic biopsy differentiate oncocytoma from chromophobe renal cell carcinoma
Journal of Medical Imaging, 2021
Akshay Jaggi, Domenico Mastrodicasa, Gregory W. Charville, R. Brooke Jeffrey, Sandy Napel, Bhavik Patel
Stanford DRO Toolkit: digital reference objects for standardization of radiomic features
Tomography, 2020
Akshay Jaggi, Sarah A Mattonen, Michael McNitt-Gray, Sandy Napel
Cognitive Science
Context-Dependent Learning of Linguistic Disjunction
Journal of Child Language, 2022
Masoud Jasbi, Akshay Jaggi, Michael C. Frank
