About Us

Micaela Parker

Micaela Parker is the Founder and Executive Director of the Academic Data Science Alliance (ADSA). Before launching ADSA, Micaela worked for the Moore-Sloan Data Science Environments and was an Executive Director for the University of Washington’s eScience Institute. At eScience, she developed research and training programs, and participated in strategic planning and fiscal oversight. Based on her years of experience, Micaela now offers consulting for emerging data science initiatives in academia. Prior to her entry into data science, Micaela was a research scientist for 10 years in the University of Washington's School of Oceanography where she managed the Center for Human Health and Ocean Studies. She continues to hold the title of eScience Data Science Fellow and she is a Research Scholar with the Ronin Institute for Independent Scholarship. Micaela is an avid skier and enjoys mountain biking and snorkeling/SCUBA diving. She is terrible at baking and dancing, but continues to do both when no one is watching.

Megan Atkinson

Megan Atkinson is the Program Associate for the Academic Data Science Alliance (ADSA). Prior to that she worked for the National Academies Keck Futures Initiative (NAKFI) from 2004 until the conclusion of the program in 2018. While with NAKFI she provided program and administrative support for multiple and complex programs / projects. Performed all administrative functions for the grants program, committee coordination, pre-conference, onsite, and post-conference logistics. She also played an integral part in wrapping up the program by launching the first ever NAKFI Challenge which awarded 1.5 million to alumni of the program to develop a project that would carry on NAKFI’s legacy of supporting interdisciplinary research into the future. She studied Communications at San Diego State University and has spent most her life in Southern California. In her free time she loves to go on long walks with her dog and cook for her friends and family.

Steve Van Tuyl

Steve Van Tuyl is the Program Manager for the Academic Data Science Alliance, where he is responsible for identifying and shepherding special projects within the ADSA community. Before joining ADSA, he was variously a digital repository librarian, research data librarian, and computer science librarian at Oregon State University and Carnegie Mellon University. He was also an active member of the Samvera open source repository community, helping coordinate resources for and development of the Hyrax repository solution bundle. Steve was trained as an ecologist at Colorado College and Oregon State University, and worked for many years with the US Forest Service researching the effects of natural and human disturbances on terrestrial carbon cycles. Steve likes to bake bread and tries to run far.

Stella Min

Stella Min is the Community Coordinator for ADSA. Prior to joining ADSA, she analyzed health economics and outcomes data as a data scientist for IBM Watson Health's Life Science team. She was also a communications and operations specialist for small businesses that make a big impact on their community. Stella earned her bachelors in economics and sociology from the University of Colorado Denver. She earned her PhD in sociology with an emphasis in demography from Florida State University, where her research and training was supported by the National Science Foundation's Graduate Research Fellowship. Stella enjoys hiking, reading, cooking, and board games.

Veronica Woodlief

Veronica Woodlief is the Communications Coordinator for ADSA. Before joining ADSA, she was the Business and Digital Marketing Manager for a health and wellness company, and has done communications for a variety of academic programs. She earned her degree in Geoenvironmental Studies at Shippensburg University of Pennsylvania, and spent years researching the impacts of climate change-induced sea level rise on barrier islands in Virginia, Maryland and Florida. In her free time, Veronica teaches yoga and is an avid beachcomber, hiker, paddler, and bookworm.