Jay Tarolli, PhD

Applications Manager, Ionpath

Jay is an analytical chemist turned data scientist who focuses on the image processing and analysis of secondary ion mass spectrometry (SIMS) images. In 2015, Jay received his PhD in Analytical Chemistry from Penn State University where his thesis was about the novel application of image fusion to time-of-flight secondary ion mass spectrometry (ToF-SIMS) images. While at Penn State, he developed ImagingSIMS as an open source tool for performing common image analysis routines with ToF-SIMS data as well as preparing Langmuir-Blodgett monolayer and multi-layer files to model cell membranes for ToF-SIMS imaging. After graduation, he began a postdoctoral research position at Pacific Northwest National Laboratory in Richland, WA. At PNNL, Jay continued his work on image fusion, applying it to dynamic SIMS images to improve the visual quality of uranium particles for particle detection as well as new approaches for automatically detecting these particles using a convolutional nerual network.

Presently, Jay works at IONpath where he has applied his knowledge of ToF-SIMS and mass spectrometry image analysis to multiplexed ion beam imaging (MIBI), which enables immuno-oncologists and other disease researchers to visualize 40+ biomarkers in a single image at subcellular spatial resolution.

Jay Gage Tarolli, son of John and Sharon Tarolli, was born December 9th, 1986 in Kingston, New York and raised in Pine Bush, New York. In June 2005, he graduated from Pine Bush High School with a Regents Diploma with Advanced Designation with Honors and enrolled at the State University of New York at Binghamton in August of that year. At Binghamton University, he worked in the lab of Dr. Chuan-Jian Zhong synthesizing and characterizing silver core-shell nanoparticles. In May, 2009, he earned a Bachelor’s of Science degree in Chemistry from SUNY Binghamton. After graduation, he entered graduate school at The Pennsylvania State University to pursue a Doctorate of Philosophy in Chemistry. Under the advisement of Professor Nicholas Winograd, he researched techniques to improve the visual quality of secondary ion mass spectrometry chemical images using image fusion. In August, 2015, due to his graduate research work, he earned his PhD in Analytical Chemistry with his thesis titled “Improving the Image Quality of Time-of-Flight Secondary Ion Mass Spectrometry Images.” After finishing at Penn State, Jay moved on to Pacific Northwest National Laboratory in Richland, WA to begin a postdoctoral research position. There, he continued his work with image fusion, implementing it to improve the screening procedures of isotopically interesting particles. In addition, he explored the use of machine learning and neural networks for improving existing data analysis workflows centered on SIMS, including automatic image analysis. In 2017, Jay began a position as a Data Scientist at Ionpath in Menlo Park, CA. At IONpath, Jay is working to process and develop analysis tools for multiplexed ion beam imaging (MIBI) data, a SIMS technique whose applications focus on tissue imaging.

Jay is an avid sports fan and is (unfortunately) a die-hard fan of the Mets, Jets, Islanders, and Knicks (none have which have won a championship in his lifetime). Is it bad luck or just the ineptitude of the teams to blame? Well, if you know Jay then you probably already know his answer.

Ever since Jay was a teenager, he had a dream of being able to say at some point in his life that he has been to all 30 currently active MLB stadiums. Turns out, he is on track to reach that at some point in the next few years! As of right now, he has been to 20 of the 30! Check out the Stadiums page to see which ones he has attended and follow along his journey.

Not only does Jay love to watch sports, but he also enjoys playing them too! Other than that, you can probably find him in search of the hoppiest beer and driest wine in sight.