
PhD candidate at AIM Lab | Harvard Medical School & Maastricht University
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AIM-Harvard
Data Scientist
June 19, 2026 – Present
thymus_health_deeplearning_system
January 15, 2026 – Present
This repo contains the source code for the thymus health projects.
View ProjectDINOv2-3D-Med
June 27, 2025 – Present
This repository provides a 3D implementation of DINOv2 for self-supervised pretraining on volumetric (3D) medical images using Lightly, MONAI, and Pytorch Lightning!
View Projectzenodo-downloader
November 19, 2024 – November 19, 2024
A utility tool to download zenodo records (supports access token downloads)
View Projectfoundation-cancer-image-biomarker
June 3, 2023 – March 5, 2025
[Nature Machine Intelligence 2024] Code and evaluation repository for the paper
View ProjectCT-FM
September 14, 2022 – Present
CT-FM: A 3D Image-Based Foundation Model for Computed Tomography
View Projectlighter
September 20, 2021 – December 9, 2025
Streamline deep learning experiments using config files
View ProjectLIDC-Explorer
April 14, 2020 – April 14, 2020
Repository to explore attributes of LIDC IDRI Dataset
View Projectganslate
May 29, 2019 – January 24, 2022
Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for data science and deep learning through numerous personal projects, indicating a self-driven and curious individual. The focus on medical imaging suggests a potential fit for roles in healthcare AI. However, the lack of diverse project types outside of deep learning/medical imaging and the absence of team-based project descriptions limit the assessment of broader cultural fit and collaboration experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.