Anne Sallaska
About Anne Sallaska
Anne Sallaska is a Senior Data Scientist at Uplevel in Seattle, WA, with over a decade of experience in data science and research. She has held various positions at notable organizations, including Porch, the National Institute of Standards and Technology, and the University of Washington.
Work at Uplevel
Anne Sallaska has served as a Senior Data Scientist at Uplevel since 2019. In her role, she has contributed to various projects, including the development of the Chat Interruptions feature. She has implemented Airflow from scratch to enhance the data ingestion process, which improved monitoring and alerting capabilities. Sallaska has also modified data pipelines to utilize Spark, addressing scaling issues effectively.
Previous Employment History
Prior to her current position, Anne Sallaska worked at Porch as a Data Scientist from 2017 to 2019. She also held the role of Staff Scientist at the National Institute of Standards and Technology from 2013 to 2015. Her experience includes a position as a Data Scientist at MITRE from 2015 to 2016 and as a Senior Data Scientist at Porch for a brief period in 2019. Additionally, she has worked as a Postdoctoral researcher at the University of North Carolina at Chapel Hill and Triangle Universities Nuclear Laboratory.
Education and Expertise
Anne Sallaska holds a Doctor of Philosophy (Ph.D.) in Nuclear Astrophysics from the University of Washington, where she also earned a Master of Science (M.S.) and a Bachelor of Arts (B.A.) in Physics with high honors from the University of California, Berkeley. She has furthered her education through the Complex System Summer School at the Santa Fe Institute. Her academic background supports her expertise in data science and predictive modeling.
Research and Development Contributions
Throughout her career, Anne Sallaska has made significant contributions to research and development. She developed a predictive model to characterize aspects of pull requests and wrote an algorithm for optimal scheduling of deep work, which is currently patent pending. Sallaska has also created a generic framework for training and deploying predictive sklearn models and automated primary analysis reports for client data.
Early Career Experience
Anne Sallaska began her career as an Undergraduate researcher at Lawrence Berkeley National Laboratory from 2000 to 2002. She later served as a Graduate researcher at the University of Washington from 2003 to 2010. Her early experiences laid the foundation for her expertise in data science and research methodologies, contributing to her later roles in various organizations.