Leo Goldstien

Research Engineer

Leo Goldstien

A skilled professional combining over ten years of IT experience with a Master’s in Biotech Engineering, specializing in Cybersecurity R&D and Cloud Engineering. His technical expertise and leadership make him ideal for roles requiring innovative research and strategy.

Projects

Automated Large Scale Cell Cycle Tracking

Cell Cycle Diagram

Modern live imaging experiments often generate 100s GB of data and require modern techinques to analyze. As part of a collaboration with the Lior Atia Lab, Developed a tool for streamlining analysis of multichannel cell cycle experiments. By leverging open source deep learning segmentation techniques and open source tools we can now study the dynamics of confluent proliferating cells.

Open-loop Path Following

Wrote an open-loop path tracking algorithm for a wheeled robot equipped with a camera. Success with sharp turns and intersecting paths. RaspberryPi & Python scientific stack.

simFRAP

Calculating Diffusion Coefficient From FRAP Series of Arbitrary Bleaching Patterns
simFRAP

Leveraging a computational simulation to simplify diffusion coefficient estimate in a cell membrane (FRAP experiments) Resulted in an open source tool for ImageJ.