Ontologic
Eli Pollock has a diverse work experience spanning several years. Eli is currently a Co-Founder at Ontologic, a position they have held since June 2022. Before that, they co-founded Data Management for Open Science (DMOS) in January 2022 and worked there until June 2022. Prior to their entrepreneurial ventures, Eli was a Graduate Student at the Massachusetts Institute of Technology (MIT) from September 2016 to June 2022. During their time at MIT, they gained valuable knowledge and skills in their field of study. Eli also worked as an Undergraduate Student Researcher at the University of Pennsylvania. Eli was involved in various research projects, including the study of grid cells and the development of "green vaccines". Additionally, they worked as a Writing Tutor, assisting Penn students with their academic writing assignments. Eli's experiences showcase their expertise in research, teamwork, and leadership.
Eli Pollock completed a Bachelor's degree in Physics and Biophysics from the University of Pennsylvania from 2012 to 2016. Subsequently, they pursued a Doctor of Philosophy (PhD) in Neuroscience from the Massachusetts Institute of Technology, starting in 2016 and expected to graduate in 2022. No information is available regarding their education prior to attending the University of Pennsylvania.
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Ontologic
Our product is a web-based platform with two sides. On one side, experimental researchers can run the latest analyses code written and shared by other researchers--at the click of a button and with no specialized training or configuration. On the other side, computational researchers can package up and deploy their code for others to use--withouthaving to learn Docker or other packaging tools.This allows experimentalists to analyze and improve on their data quickly and effortlessly keep track of their results. It allows computationalists to collaborate easily, get credit for their code, and improve it to build their portfolios. It also allows lab leaders to seamlessly continue projects through turnover, stay compliant with funders' data management and sharing policies, and set lab standards for best practice analysis.