Machine Learning Engineer & Harvard Neuroscience PhD

Machine Learning Engineer at the Howard Hughes Medical Institute (HHMI)

Deep LearningComputer VisionComputational NeuroscienceImage SegmentationPyTorchBioimaging

About

I am a Machine Learning Engineer at the Howard Hughes Medical Institute’s Janelia Research Campus, where I bridge the gap between advanced AI and neuroscience. With a PhD from Harvard and a background as an NSF Graduate Research Fellow, my work focuses on developing deep learning architectures—specifically CNNs and transformers—to solve complex segmentation and image enhancement challenges in bioimaging. My career has spanned from co-founding an adaptive learning SaaS to managing neural circuitry labs at MIT. I am deeply passionate about Open Science and the potential for AI to accelerate biological discovery. I’m always looking to connect with fellow engineers and scientists who are interested in generalist ML frameworks or the future of connectomics. Whether you're looking for insights into the AI@HHMI initiative or just want to discuss the intersection of life sciences and technology, I'm happy to chat.

Networking

What I can offer

›Expertise in AI/ML frameworks for imaging
›Insights into computational neuroscience research
›Mentorship for aspiring scientists
›Recruitment connections for HHMI/Janelia

Looking for

›expanding my professional network
›exploring mutual opportunities in Machine Learning and Neuroscience
›Connections with researchers interested in generalist AI/ML frameworks for imaging

Best fit for

Data EngineersMicroscopy ScientistsAI/ML ResearchersComputational Neuroscientists

Current Interests

Mammalian connectomicsFoundation models for imagingAI@HHMI initiativeNeural circuit rewiringDeep learning bootcamps

Background

Career

Transitioned from psychology and lab management into a PhD in Neuroscience at Harvard, eventually specializing in Machine Learning for bioimaging at HHMI Janelia.

Education

Ph.D. in Neuroscience, Harvard University (2018 – 2024); B.A. in Psychology, Lewis & Clark College (2009 – 2013).

Achievements

›National Science Foundation (NSF) Graduate Research Fellow
›Co-founded Intellegi™, an adaptive learning education SaaS
›Developed innovative segmentation tools for X-ray Holographic Nanotomography
›Graduated magna cum laude with a 4.0 Major GPA

Opinions

Guided by the philosophy of leaving the world better and helping others 'breathe easier'.
Believes the current era of AI-driven scientific discovery is a 'time to be alive'.
Strong advocate for #OpenScience and #OpenSource tools.