Summary
Alexandre Sathler is a Bioengineering PhD student and NSF graduate research fellow who blends hands-on wet-lab expertise with production-grade machine learning to accelerate discovery in aging, neurodegeneration, diagnostics, and bioprocess engineering. Over the past five years he has built bench→silicon→discovery pipelines—from a confocal image normalization tool that rescued 3D imaging depth to semantic segmentation and denoising models that slashed acquisition and analysis times. He has translated models into impact at NIH and industry, delivering high-accuracy computer vision for mitochondrial phenotyping and an AI-based bioprocess control product that opened OEM partnerships and supported a $1.5B market entry. Alexandre also drives community science and education, having led feasibility and grant efforts for the DMV Petri Dish and mentored students into competitive STEM programs. Based in Berkeley, he pairs a rigorous biochemistry foundation with practical MLOps and product instincts, uniquely positioning him to move biological algorithms from prototype to manufacturing-scale use.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Bioengineering (Joint), Doctor of Philosophy - PhD Bioengineering (Joint) at University of California, Berkeley
Bachelor of Science - BS Biochemistry and Molecular Biology, Bachelor of Science - BS Biochemistry and Molecular Biology at Oregon State University
Associate of Applied Science Bioscience Technology, Associate of Applied Science Bioscience Technology at Portland Community College
Doctor of Philosophy - PhD Bioengineering (Joint), Doctor of Philosophy - PhD Bioengineering (Joint) at University of California, San Francisco
Portuguese, French