UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN
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Chad Olson
BFA, MFA
Senior Research Software Engineer
Frontend design and development
With one foot in advertising, another foot in the start-up world, another foot in frontend design and development, and the other foot in photography and videography, it's clear that I haven't figured out what I want to do when I grow up (besides being very awkward on the dance floor having four feet!).
What I do know is that I enjoy solving problems and learning new things along the way.
Ok, I'll admit it, I started pre-Y2K and over those years have helped start-up companies brainstorm early concepts still in the napkin phase, been involved with anything UI/UX design, assisted with brand and marketing campaigns, love pushing pixels around the screen (motion / animation), and programmed the frontend applications. Along the way, I was given the opportunity to explore my passion for photography and video (feel free to ask about my IMDB credit for butterfly wrangler) and recently helped out on an independent full feature film.
Someday, I plan on designing an interface that has no buttons (at least not in the traditional sense). Until then, I'll keep trying to convince someone that my homemade bread making or kayaking skills are kneaded on a project.
Publications.
2005
Science
2020
PLOS Biology
2019
PEARC ’19. Association for Computing Machinery
YYYY
The FASEB Journal
YYYY
Farmdoc daily
Murphy WJ, Larkin DM, Wind AE der, et al. Dynamics of mammalian chromosome evolution inferred from multispecies comparative maps. Science. 2005;309(5734):613-617.
Iii CB, Emad A, Berry MJ, et al. Knowledge-guided analysis of “omics” data using the KnowEnG cloud platform. PLOS Biology. 2020;18(1):e3000583.
Satheesan SP, Bhattarai R, Bradley S, et al. Extensible framework for analysis of farm practices and programs. In: Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (Learning). PEARC ’19. Association for Computing Machinery; 2019:1–8.
Guetterman H, Auvil L, Russell N, et al. Utilizing machine learning approaches to understand the interrelationship of diet, the human gastrointestinal microbiome, and health. The FASEB Journal.