Jonathan Loi, Ph.D.
Ph.D. in Biophysics with over 11+ years of research experience applying physics, math, and computation to biology
Research Expertise
About
Publications
Education
University of Wisconsin–Madison
Ph.D., Biophysics / August, 2023
University of California, San Diego
Bachelors, Physics and Biochemistry/Cell Biology Double Major / June, 2016
Experience
University of Wisconsin-Madison
Doctoral Research Assistant / August, 2020 — August, 2023
Co-authored and secured grants for 3 independent research projects (two cancer-related at $250,000 per year each, one machine learning and image processing-related at $25,000 total). Solely developed MATLAB software to provide researchers easy access to mathematical and statistical methods for 3D image correction and analysis (published). Performed mathematical modeling and simulation of point spread functions to identify optimal conditions for biological image data acquisition. (published). Developed an image registration algorithm for 3D super-resolution image reconstruction (under review). Developed and applied an Expansion Microscopy method for economical 3D super-resolution imaging of biological samples (submitted). Led and executed multiple projects related to chromosomal abnormalities in cancer, Epstein-Barr Virus infection of human cells, and using machine learning for patient karyotyping. Regularly communicated research results to expert and non-expert audiences to the field.
Doctoral Research Assistant / September, 2017 — April, 2020
Explored the effects of pressure and drug treatment on exocytosis kinetics via simultaneous whole cell patch clamping and amperometry. • Performed signal processing, model fitting, and analysis of time-series amperometric signals.
Student Assistant / February, 2019 — September, 2019
Explored the relationship between audio stimuli and EEG neural responses using Granger causality on time-series data.
Doctoral Research Assistant / September, 2016 — August, 2017
• Characterized neurophysiological effects of using CRISPR / Cas9 to attenuate the pathogenic pathway in Alzheimer’s Disease (published).
University of California, San Diego
Undergraduate Research Assistant / September, 2014 — June, 2016
• Developed scripts in R & MATLAB for colocalization and kymograph image analysis to study protein trafficking, targeting, and distribution in hippocampal neurons (published). • Performed fixed and live cell fluorescence microscopy imaging to study actin assemblies (published).
Undergraduate Research Assistant / April, 2015 — February, 2016
• Developed scripts in R to identify essential genes in cyanobacteria interrupted using barcode transposons. • Created pipeline in R for large-scale RNA Seq data analysis using Bioconductor packages. • Authored a review on chronobiology as an inaugural member of the Bioclock Studio, a group of circadian biology researchers and students dedicated to science communication and outreach.
Undergraduate Research Assistant / September, 2012 — August, 2014
• Explored bacterial growth patterns using microfluidic devices, spectrophotometry, and microscopy. • Quantified bacterial growth in microscopy images using MATLAB.
Join Jon Loi, Ph.D. on NotedSource!
Join Now
At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.
For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.
For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.
Expert Institutions
Proudly trusted by
