Neuroscience PhD & engineer. I help research teams design experiments, build custom systems, and turn complex data into answers.
I'm a neuroscientist and engineer who likes building the tools that make hard experiments possible. I trained in biomedical engineering at Duke, then spent eight years at two Max Planck institutes, finishing a PhD in neurobiology at the Max Planck Institute for Biological Intelligence in Munich.
For my PhD, I built a real-time virtual reality system for freely moving mice that tracked an animal's head at 360 frames per second and redrew its world in under 20 milliseconds. I then used machine learning to ask how the visual cortex combines what an animal sees with how it moves. That work took me across the full data stack, from electronics and motion capture through computer vision, statistical modeling, and terabyte-scale analysis pipelines.
Today I work with research teams as an independent consultant through DeepBio Analytics. I'm based in Boston, Massachusetts, and work with labs and companies everywhere, remotely or in person. I look at challenges from first principles to find solutions that work in practice. If you're stuck on a technical problem or want to think an idea through, I'd love to hear from you.
I partner with academic labs and biotech teams on anything from a one-off analysis to a complete experimental platform.
A PhD-trained second opinion on protocols, controls, and analysis plans, ideally before the data is collected rather than after.
Read my dissertation →Closed-loop experimental platforms from sensor to screen: motion capture, VR, hardware sync, and data acquisition built to tight latency budgets.
Case study: rodent VR under 20 ms →Calcium imaging, behavioral video, and large multimodal datasets turned into defensible results with modeling, dimensionality reduction, and clear figures.
Published in Current Biology →Segmentation, tracking, and detection pipelines for microscopy and behavioral video, built to run with minimal hand-tuning.
Automated cell segmentation →Retrieval-augmented assistants that make large, messy document collections searchable and useful to domain experts.
Try the Permacore demo →Reproducible, version-controlled workflows that take terabytes from raw acquisition to final figure, documented so your team can keep running them.
TB-scale PhD analysis pipeline →Have a project in mind? A short call is the quickest way to find out whether I can help.
Schedule a CallMay 2025 - Present | Incorporated May 2026
Founder of DeepBio Analytics, a data science and scientific consulting practice serving biotech and neuroscience research teams. I help clients design robust experimental protocols, analyze complex biological data, and build custom software, computer vision, and LLM tools for research workflows. I began consulting independently in May 2025 and incorporated the practice as DeepBio Analytics LLC in May 2026.
This work draws directly on my PhD and postdoc research at the Max Planck Institute for Biological Intelligence, where I built real-time computer-vision and VR pipelines, built experimental setups from sensors to data acquisition, and modeled neural activity across imaging, video, and behavioral datasets.
Current engagement: working with a client at Cornell University.
Max Planck Institute for Biological Intelligence | Oct 2018 - Dec 2024
Built immersive VR environments and ML pipelines to investigate how the brain integrates vision and body motion.
Selected Achievements:
Max Planck Florida Institute for Neuroscience | Jul 2016 - May 2018
Developed real-time computer vision pipelines for neuroimaging data and ran 2-photon calcium imaging experiments.
Selected Achievements:
MPI for Biological Intelligence & LMU Munich | 2018 - 2024
Explored neural computations and encoding of visual and movement information in mice with virtual reality and ML.
Read my dissertation here: Visual stimulus tuning in mouse primary visual cortex in freely moving immersive virtual reality
Duke University | 2012 - 2016
Studied biomedical engineering, biocompatible electronics, and brain-computer interfaces.
Feel free to reach out for collaborations or just a friendly chat!