Summary
Erik Noyman is a biomedical engineer and Junior Specialist at UCSF with 11 years of hands-on experience bridging wet lab work and computational analysis. He has practical expertise in cell culture, molecular barcoding, PDMS microdevice fabrication, and FLIM microscopy, combined with Python- and ML-driven analysis pipelines for AML subtype classification and image quality control. At USC he helped develop a proprietary cell-surface barcoding technique and applied image analysis tools like Aivia and ImageJ to quantify barcode distributions. His background includes iPSC differentiation and statistical modeling using R and Python, and he brings a coach’s teamwork mindset from years in competitive gymnastics. Comfortable moving between bench and code, he seeks collaborative opportunities to translate quantitative methods into translational biomedical insights.
11 years of coding experience
Bachelor of Science - BS, Biomedical Engineering (Molecular-Cellular emphasis), Bachelor of Science - BS, Biomedical Engineering (Molecular-Cellular emphasis) at University of Southern California
High School Diploma, High School Diploma at Palo Alto High School