“Just because something works, doesn’t mean it can’t be improved.” – Shuri, Black Panther
I am a data scientist working in biotech with a voracious appetite for learning new topics and skills. Molecular cell biology captured my attention because it lies at the intersection of so many different sciences.
I follow technology advancements in the fields of AI/Machine Learning, aerospace engineering, and sustainable energy. I feel technology is the most tangible way we can effect positive change in the world and these fields (along with genetics and cell biology) have the most promise to do so.
I graduated with a PhD in Bioinformatics from Queen Mary University of London in 2021. I’ve had the wonderful opportunity to develop several genome visualization techniques that bridge complex data with human’s natural pattern recognition.
I’m passionate about creating interdisciplinary collaborations and solving the hard problems in one domain by cross pollinating with solutions from another domain. Software is a great tool but lacks soul without a meaningful purpose to be applied to. Likewise, I’ve found mathematicians have often solved problems a century ago that people still need applied in biology. Fusion sparks beauty.
At the intersection of art and science I made FluentDNA, which is like satellite imagery for genomes. This visualization style sparked a 200 person community quilt and an interactive museum display with a touch sensitive chromosome poster. I’ve led two hackathons around the development of Pantograph, a browser for genome structural variants. For project management, I drew from lessons I learned while developing a simulation of epidemics at the USDA called ADSM.
I am currently working with a biotech company called ArtisanBio in Louisville, Colorado. We are creating a framework for programming personalized white blood cells to fight many strains of cancer. Unlike chemotherapy, which is a controlled poisoning of one’s entire body, CAR-T Cell therapy is a targeted solution using the immune system cells’ native intelligence.
My goal is to be in a position to utilize AI to make scientific discoveries. It is an exciting time to be a computer scientist because of the revolution taking place in artificial intelligence. So far, the data hungry transformer architectures have been applied to tasks humans are already good at because of data availability. It appears these transformer networks are capable of learning any kind of information, but we have yet to see AI revolutionizing scientific discovery instead of simply replacing tasks humans were already doing. My career has been about using computer science to gain a deeper understanding of the hidden patterns in genomic information. I want to see how AI and genetics can intersect.