Julian Quick is pursuing his bachelor's of science degree in environmental resources engineering at Humboldt State University with a specialization in energy resources and energy data analysis. He wrote Python code for the Earth Observing Laboratory, Canary Instruments, home energy monitoring, and the National Wind Technology Center.

Hang (Harvey) Yu graduated from the University of Illinois at Urbana-Champaign with a PhD in computational biophysics and a master's in statistics. He has extensive experience in data mining, machine learning, and statistics. In the past, Harvey has worked on areas such as stochastic simulations and time series in C and Python as part of his academics. He was intrigued by algorithms and mathematical modeling and has been involved in data analytics since then.

Hang (Harvey) Yu is currently working as a data scientist in Silicon Valley. He is passionate about data science and has developed statistical/mathematical models based on techniques such as optimization and predictive modeling in R. Previously, Harvey has also worked as a computational science intern at ExxonMobil.

When Harvey is not coding, he plays soccer, reads fiction books, or listens to classical music. You can reach him at <[email protected]> or on LinkedIn at www.linkedin.com/in/hangyu1.