About me
Welcome! I'm a trained mathematician, computer vision scientist, and overall deep learning researcher/enthusiast with a strong focus on image analysis tasks and data visualization. My work revolves around finding creative, end-to-end deep learning solutions for large-scale image analysis problems across a number of diverse fields. I thrive on collaborating with a wide range of professionals, from experienced researchers  and industry professionals to early-career scientists breaking in to new fields.
These diverse collaborations have enriched my understanding of real-world phenomena and provided unique perspectives that fuel my quest for innovative solutions. I believe in fostering a collaborative and inclusive environment where ideas can thrive, empowering my collaborators and mentees to achieve their full potential. As for my coding and deliverables, I take great pride in my work's reproducibility and user-customization aspects, which enables seamless integration with other fields, fostering a vibrant exchange of ideas and knowledge.
On a more personal note, I live by the three P's: Pokemon, prog metal, and progressive overload.
Interested in any linear combination of sparse/incomplete data considerations, tokenized learning, and mathematics of embedding spaces? Let's connect!