Postdoctoral Fellow @ MIT | Bridging AI, Physics, and Biology
I'm a postdoc fellow at MIT, passionate about pushing the boundaries between artificial intelligence, physics, and biology. My mission is to make machine learning not only powerful but also interpretable—especially for complex biological data with limited labels. I thrive on exploring explainable AI (XAI) and uncertainty estimation to unlock new insights from images, motion, and more.
- 🔬 Research Focus: Explainable AI & interpretability for biological data
- 🧠 Fun Project: DeepSPT — applying deep learning to analyze biological motion
- 🧑💻 Always Coding: Python, PyTorch, Computer Vision, Machine Learning, Deep Learning
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DeepSPT
Leveraging deep learning to analyze and interpret biological motion: SEMORE -
XAI Timeseries Model
Exploring explainable AI and interpretability for biological datasets with limited labels. -
Probabilistic ML
Probabilistic approaches to machine learning and uncertainty. -
LatticeProcessing
Advanced tools for lattice-based data analysis. -
Computer_vision) Playground for Dino and other computervision tools.
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protein_regression
A systematic analysis of regression models for protein engineering Repository to replicate the results of: A systematic analysis of regression models for protein engineering -
SEMORE
A multi-independent-module pipeline for structure segmentation and disection in single molecule localization microscopy (SMLM) data and the extraction of unique morphological fingerprints: SEMORE._ -
Variations_of_VAE
Implementations of VAEs based on Riesselman et al 2018 "Deepsequence" both the standard from the paper, but also extended to conditional and semi-supervised variants. -
Video_object_tracking_
Hacking into pytorch maskrcnn for making an end2end model for object tracking over time and segmentation of morphology. -
Additional analysis repos Multiple codebases for published studies from my PhD/Postdoc are also stored on my Github.
“Bridging disciplines to make AI smarter, more transparent, and useful for unraveling the mysteries of biology.”
- 🥾 Hiking enthusiast
- 📚 Avid reader
- 🧗 Rock climber & boulderer