About Me

I’m a research scientist at Biohub working on machine learning for biological imaging—mostly 3D methods for understanding cellular structure from microscopy data.

Some things I’ve been involved with recently: co-architecting the CZII CryoET Object Identification competition on Kaggle, co-founding copick (a data API for collaborative cryo-ET annotation), and building CryoLens, a generative model for 3D reconstruction from tomography data.

I’m on the steering council for napari and have contributed to various open-source tools over the years, including sciview (3D/VR for ImageJ), SNT (neuron tracing and image-based modeling), and album (reproducible scientific workflows).

Before Biohub, I was a professor at University of Idaho, led a group at the Max Delbrück Center in Berlin, and did stints at Oak Ridge National Lab and HHMI Janelia. I’ve also advised on DARPA programs in lifelong learning and adversarial ML.

My PhD is from Brandeis (computer science + quantitative biology), and I did a postdoc at Harvard Medical School.