Software engineer and research scientist with recent experience in machine learning infrastructure. Previous experience in computational biology, metagenomics, natural language processing, bibliometrics, open access advocacy, and reproducible research. Expert in large-scale data management, database design, and distributed computing. Experienced in project management and system administration. Proficient with a wide variety of computing technologies and platforms. Effective team player; also able independently to complete entire projects from conception through launch.
Transitively move many needles, by building tools to support research in machine learning and natural sciences. I like to design and build software systems that enable researchers and developers to solve hard problems quickly and confidently. I strive to design intuitive APIs and visualizations, so that users can focus on their own interests, not on framework friction.
Research Associate, Department of Genetics, Stanford University School of Medicine.
Smilkov D, Thorat N, Assogba Y, Yuan A, Kreeger N, Yu P, Zhang K, Cai S, Nielsen E, Soergel D, Bileschi S, Terry M, Nicholson C, Gupta SN, Sirajuddin S, Sculley D, Monga R, Corrado G, Viegas FB, Wattenberg M. (2019). TensorFlow.js: Machine Learning for the Web and Beyond. Proceedings of the 2nd SysML Conference, Palo Alto, CA, USA. PDF
Xia D, Mewald D, Sculley D, Soergel DAW, Roumpos G, Cheng H, Polosukhin I, Smith JA, Xie J, Hong L, Wicke M, Ispir M, Tucker PD, Tang Y, Haque Z. (2017). TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. Proceedings of the 23th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Canada. PDF
Soergel DAW. (2015). Rampant software errors may undermine scientific results. F1000Research 3: 303. Full Text, PDF, Reviews and Discussion
Soergel DAW, Saunders AC, McCallum A. (2013). Open Scholarship and Peer Review: a Time for Experimentation. ICML Workshop on Peer Reviewing and Publishing Models (PEER). PDF, Discussion
Dey N, Soergel DAW, Repo S, Brenner SE. (2013). Association of gut microbiota with post-operative clinical course in Crohn's disease. BMC Gastroenterology 13: 131. Full text, PDF
Yooseph S, Sutton G, Rusch DB, ... Soergel DAW, ... Venter, JC. (2007). The Sorcerer II global ocean sampling expedition: expanding the universe of protein families. PLoS Biology 5: e16. Full text
Lareau LF, Brooks AN, Soergel DAW, Meng Q, Brenner SE. (2007). The coupling of alternative splicing and nonsense-mediated mRNA decay. In Blencowe B and Graveley B, ed., Alternative splicing in the post-genomic era (pp. 190-211), Landes Bioscience. PDF
Soergel DAW, Lareau LF, Brenner SE. (2006). Regulation of gene expression by the coupling of alternative splicing and nonsense-mediated mRNA decay. In Maquat L, ed., Nonsense-mediated mRNA decay (pp. 175-196), Landes Bioscience. PDF
Soergel DAW, Choi K, Thomson T, Doane J, George B, Morgan-Linial R, Brent R, Endy D. (2004). MONOD, a collaborative tool for manipulating biological knowledge. Working paper
Chang-Lin Tien Scholar in Environmental Sciences and Biodiversity, UC Berkeley. (2008-2010)
Contributing author to a successful NIH R01 grant to Rob Knight. (2011)
Predoctoral Fellow, Howard Hughes Medical Institute. (2003-2008)
National Defense Science and Engineering Graduate Fellowship. (2003, declined)
Caltech and Stanford Summer Undergraduate Research Fellowships. (1994, 1995, 1997)
Caltech Merit Awards. (1994, 1995)
Robert Andrews Millikan Scholar, Caltech. (1993)
Research Mentor for graduate rotation students, undergraduate research assistants, and software developers. (5 total, 2005-2010)
Graduate Student Instructor for Microbial Genetics and Genomics, U.C. Berkeley (2007)