I work at the intersection of fundamental science and engineering on the hardest problems worth solving — where deep understanding of physics, materials, and quantum systems becomes the leverage point for building technologies that genuinely change the world.
Regardless of how evolved AI becomes with the automation of technical tasks, thinking, generation of ideas and novel insights, there will always be a need for those who provide guidance, define purpose, and spearhead human-centered challenges in collaboration with and with the help of AI — and that is where I come in. I am a generalist and leader with technical roots who wants to transform the world and solve the greatest challenges of humanity.
I'm a physicist and engineer trained in optical imaging and spectroscopy at the Wellman Center for Photomedicine (Harvard Medical School / MGH), where I built computational frameworks and custom instrumentation for spectroscopic imaging. My instinct is to start from first principles — to understand not just how a system behaves, but why it behaves that way — and use that understanding as leverage at the engineering layer.
I'm driven by how fundamental science — in materials, quantum systems, and physics broadly — can be directed at the grand challenges of our time: energy, health, and sustainability. I'm looking for the right team and hard problems to commit to.
The grand challenges of this century — energy, health, sustainability — will be solved by people who understand the fundamental science deeply enough to see what's actually possible, and who care enough about the outcome to build it anyway.
I'm looking for teams working on hard problems at the frontier of fundamental science and engineering — where the physics isn't fully understood, the materials don't yet exist, and the potential impact justifies the difficulty. I want to be an early contributor, close to the core technical work, on a team that thinks rigorously and moves with purpose.
I envision a future where ethical implementation of artificial intelligence amplifies what scientists and engineers can discover and build — not as a replacement for deep understanding, but as a force multiplier for it. My background in physics, imaging, and computational methods gives me a foundation, but I'm drawn broadly to any domain where first-principles thinking and scientific innovation create lasting impact.
Grounding every engineering decision in physical principles. Translating theoretical models into working systems where deep understanding becomes a real competitive edge.
Understanding how material structure governs macroscopic behavior. Spectroscopic and optical methods for probing composition, phase, and properties at scales from atomic to bulk.
Algorithm development for signal processing, inverse problems, and quantitative reconstruction. Building computational pipelines that extract physical insight from complex datasets.
Coherent light propagation, interference, diffraction, and light-matter interaction from first principles. Experience with interferometric and photoacoustic imaging systems.
Design and integration of measurement systems from components to complete setups. Custom hardware, optical benching, and end-to-end characterization.
Physics models to efficient, reproducible computational workflows. Data pipelines, numerical methods, and visualization for complex experimental and simulated datasets.
If you're working on a grand challenge at the frontier of science and engineering and you think I'd be a good fit — I'd like to hear from you.
isaactgall@gmail.com →