People


	David (Dave) Beck Fearless leader and advocate for color blind safe palettes. Github: https://github.com/BeckResearchLab Twitter: @dacbUW
	Rahul Avadhoot Machine learning for small molecule design Github: https://github.com/rahulavadhoot
	Jamie Collins (Moore/Sloan Postdoctoral Fellow) Computational Marine Biogeochemistry Github: https://github.com/vanmooylipidomics/LOBSTAHS
	Jiayuan Guo Enjoying changes and challenges data science brings to our ChemE life. Github: https://github.com/JiayuanGuo
	Yu Liu Realtime process control and engineering through machine learnig. Github: https://github.com/LigninTools

Alumni

	Sai Varun Aduru Molecular & clean energy related Data Scientist
	Maliha Ahmed (Visiting International Student Internship & Training trainee) Studying effects of pesticides on soil microbial community structure
	Jiarong Ivan Cui (MS, 2017) Making Clean Energy smarter with machine learning Github: https://github.com/whosivan
	Yuan Gao (MS, 2017) From dark coal industry to bright machine learning. Github: https://github.com/gaoy316
	Alexey Gilman (PhD, 2017) Data Scientist and Bioreactor Operator total package. Github: https://github.com/gilmana
	Janet Matsen (PhD, 2017) Using machine learning to discover the social life of microbes. Github: https://github.com/JanetMatsen
	Pearl Philip (MS, 2017) Application of artificial neural networks to understand protein interactions for drug design. Github: https://github.com/pearlphilip
	Erika Keim (Spring 2016, DEOHS PhD rotation student) Microbial ecology and diversity bioinformatics Github: https://github.com/ekeim
	Nathan Davis (Summer 2016, high school student) Machine learning for classification of nonribosomal peptide synthetases. Github: https://github.com/eelster

Group photos: