Jonathan Spada Email & Phone Number

Reno, Nv, Us

Oakland, California, United States

Montreal, Quebec, Canada

As a part of a leading engineering consulting firm, I help provide innovative solutions to our clients' needs by applying first principles in chemical and electrochemical engineering.

New York, New York, United States

As a Research Assistant in the Solar Fuels Lab at Columbia University, I investigated the optimal design of membraneless electrolyzers for the production of acids, bases, and hydrogen from seawater. My optimization process involved rapid prototyping of electrolyzers by use of Autodesk Inventor's computer aided design to 3D print improved designs. I electrochemically tested the prototypes to analyze performance and long-term stability of the devices. The design, test, fail and improve loop allowed me to rapidly identify issues and increase measured current densities.Key achievements:- Prototyped 8 different cell designs to learn, fail and improve, allowing for rapid improvements to the device- Learned more than 10 different skills including Autodesk Inventor, 3D printing, various electrochemical measurements (LSV, CV, EIS, CA, CP), project management and lab safety essentials- Engaged in weekly meetings to orally communicate complex ideas and present results in PowerPoint

Montreal, Quebec, Canada

Westport, Connecticut, United States

As a junior product developer at CoKinetic, I collaborated in a small team to design a geographically based social media app named PubGeo.In my position, I engaged in daily brainstorming sessions and correspondence with developers to improve the UI/UX features.Key Achievements:- Tested the beta version of the application in Apple's Testflight program to report bugs and suggested remedies to development team- Improved major UI features to include "infinite scroll" design and ergonomic positioning of buttons

Greater New York City Area

As a Medical Data Science Assistant at Pfizer, I collaborated with the oncology and business analytics teams to discover reasons behind the non-adherence of breast cancer treatments,leading to development of machine learning models capable of predicting patient adherence with 86% accuracyKey Achievements:- Filtered and prepared over 100 million electronic medical records and real-world data using the Dataiku DSS environment tostatistically confirm reasons for non-adherence- Utilized data visualization software Tableau to help visualize thousands of data points and present key results to project managers and colleagues- Improved onboarding process for future interns by consolidating dozens of important resources and learning materials in easily accessible file locations

Master Of Science - Ms, Chemical Engineering

Bachelor Of Engineering - Be, Chemical Engineering

Activities and Societies: • Electrochemistry and Corrosion Laboratory • 2019 Engineering Week Captain • Rec Dodgeball co-captain • McGill.

French Language And Literature

• Attended UQAC to learn French and immerse myself in French-Canadian culture in Saguenay, Quebec • Completed French course at UQAC.