About Me
Philosophy
I've always been drawn to systems.
Biology is often described as messy, stochastic, and unpredictable. Software is described as deterministic, structured, and exact. Most people see these as opposites but I believe they are complementary.
I believe biology can be structured without stripping away its complexity. We have not uncovered all of its logic, and we likely never will in full. But there is coherence beneath the apparent chaos, and better interfaces allow us to reveal it.
My work explores these complementary interfaces.
I design systems that bridge molecular biology, automation, and software. Biology cannot be reduced to code (yet), but experimentation must become reproducible, scalable, and loggable. I believe we are moving toward a world where biological processes can be described, orchestrated, and iterated on with the same fluency we apply to software.
At the same time, I don't believe biology becomes meaningful in abstraction alone. Biology exists in the physical world, and we must understand it in that context. Life cannot be abstracted away from the physical world. It grows in incubators, responds to force and temperature, unfolds through time. It is bound to physics. Within that physicality, there is logic. Hardware is not secondary to software. It is where intent becomes reality. Software is a lens through which life's structure becomes visible.
For me, the future isn't software replacing biology. It's software and biology moving in sync.
The transformation happens at the boundary. When digital logic reaches into the physical world and moves matter. When code alters motion. When data reshapes experimentation. That boundary between computation and embodiment is not theoretical. It is executable.
Biology lives at that boundary.
And that interplay, between matter and abstraction, physics and logic, is where I find the most beauty. That is where the future unfolds.
Life is better understood when we stop separating software, hardware, and biology, and instead treat them as a single, flowing system where abstraction and embodiment are in constant dialogue.
When those systems are aligned, experimentation begins to feel less chaotic and more like flow. It becomes iterative, responsive, almost fluid.
Curiosity drives everything I do. I'm interested in how systems interact, where friction exists, and how constraints can be turned into design principles.
This leads me to the work I do.
The Stack
My work sits at the intersection of the bench and the terminal. On any given day I might be designing a molecular assay, writing a pipeline to process gene expression data, or building automation workflows that connect liquid handlers to analysis scripts.
On the biology side, I have deep experience in molecular biology, cell culture, PCR, gene expression analysis, and high-throughput assay development. I've worked across therapeutic areas from cardiometabolic disease to gene therapy.
On the computational side, I work in Python, R, and increasingly with ML frameworks. I've explored EGNNs and Transformers for target triage, built single-cell and single-nucleus RNA-seq pipelines, and developed dashboards and data tools to accelerate decision-making.
Statistics ties it all together. Experimental design, hypothesis testing, and data interpretation are the connective tissue between wet lab and dry lab.
Robotics and automation are where it all converges. I believe the future of biology is programmable, and the instruments we build should reflect that.
A blend of the serious and the not-so-serious.
Life
Outside of work, I look for the same flow in motion. Snowboarding down a mountain, cycling long distances, running, or exploring new places. Movement sharpens thinking. Physical systems teach you about balance, momentum, and feedback loops just as much as engineering does.
I run to clear my head. I bike to cover ground and think at a different pace. Snowboarding is pure commitment to the present moment. Each one is a different kind of practice.
And yes, I take craft beer seriously. Fermentation is biology too.