I am a staff data scientist at Terion (formerly Indigo Ag). Prior to joining Indigo, I worked at Flatiron Health and completed a PhD in Biostatistics at the University of Michigan, advised by Michael Elliott, Tom Braun, and Hui Jiang.
At Terion, I work with interdisciplinary teams to quantify the climate benefits of sustainable farming practices, and to reduce the upstream (scope 3) emissions of consumer packaged goods companies. In previous roles, I have focused on using electronic health records to complement clinical trials in oncology and to conduct observational studies. I have also developed statistical methods for genetics and psychology, collaborated on social science research, and worked on environmental policies and programs. You can find more information in my CV.
Older tutorials and workshop notes are here.
At Terion, I work with interdisciplinary teams to quantify the climate benefits of sustainable farming practices, and to reduce the upstream (scope 3) emissions of consumer packaged goods companies. In previous roles, I have focused on using electronic health records to complement clinical trials in oncology and to conduct observational studies. I have also developed statistical methods for genetics and psychology, collaborated on social science research, and worked on environmental policies and programs. You can find more information in my CV.
bsegal@terion.ai | GitHub | LinkedIn
Older tutorials and workshop notes are here.
