About
Esha Bandyopadhyay
Esha is a third-year Ph.D. student in the GenSCAPE (aka Raghavan) Lab at the University of Chicago. Her doctoral research focuses on the reconstruction of human and faunal population histories in South Asia using Ancient DNA (aDNA). She became a Software Carpentry instructor in 2020, after assisting with some Carpentries workshops. Besides genetics, she enjoys painting, photography, traveling, and reading. You can follow her on Twitter at @eshab05.
Arjun Biddanda
Arjun is a 5th year PhD student in Human Genetics. His research focuses on developing both theory and practical statistical methods for human population genetics. He has been a Software Carpentry instructor for 2 years and has taught primarily workshops for the biological sciences divisions. When not focusing on his research, he can be found working on puzzles or playing tennis. You can find him on Twitter at @aabiddanda.
Jennifer Blanc
Jennifer is a third year PhD student in the Human Genetics program. Her research focuses on understanding the evolution of complex traits in human populations. Jennifer became a Software Carpentry instructor in Spring 2020 and has helped teach workshops in the biological sciences division. You can find Jennifer on Twitter @jblanc12 and check out her GitHub.
Lilian Huang
Lilian is a graduate student in the MS program for Computational Analysis and Public Policy, studying the intersection of computer science and policy work. She became a Carpentries instructor in 2019 after assisting with the R for Social Scientists workshop. You can check out her personal website and her Twitter.
Nicholas Knoblauch
Nick is a 6th year PhD student in the Genetics, Genomics and Systems Biology PhD program at the University of Chicago in the lab of Xin He. His research focuses on methods development for problems in statistical molecular genetics. He has been a Software Carpentry instructor for the past 2 years and a Software Carpetnry helper for four years before that. To learn more about the kind of software Nick likes to hack on, check out his Github, he’s also on Twitter.
Qinyun Lin
Qinyun is a postdoctoral fellow at the Center for Spatial Data Science. Her research interests include sensitivity analysis, causal inference, mediation analysis, social network analysis and multi-level models. Her dissertation proposes sensitivity analysis techniques for presence of spillover effects and heterogeneous treatment effects in multisite randomized control trials. Her dissertation work also looks at unobserved mediator as a post-treatment confounder in causal mediation analysis.
Moksha Menghaney
Moksha is a Community and Mapping Analyst at Center for Spatial Data Science. Her interests lie in integrating GIS and spatial analysis with evidence-based methods for policy evaluation and implementation. She decided to come back to academic world after working as a modeler in investment management for 6 years. She became a Data Carpentry Instructor in September 2020 and is looking forward to help/host/participate in R/Python workshops with applications to social sciences. You can find her on twitter @MokshaMenghaney.
Zach Miller
Zach is a 4th year PhD student in Ecology & Evolution. His work in the Allesina Lab is aimed at developing mathematical and computational tools and models to study species-rich ecological communities. He became a Software Carpentry instructor in 2020, after helping with Carpentries workshops and teaching other courses on programming and statistics at the University of Chicago. To learn more or get in touch, check out his website.
Briana Mittleman
Briana is a graduate student at University of Chicago in the Gilad Lab. Her work includes using natural variation in the human genome to understand gene regulation. Briana became an intructor in Summer 2018 and has been teaching workshops in the BSD since. Follow Briana on twitter @brimittleman and check out her github.
William Ngiam
William is a postdoctoral researcher in the Awh/Vogel Lab at the University of Chicago, studying the visual working memory system and its neural signatures. He became a Data Carpentry instructor in 2020 in the hopes of improving data practices amongst scientists, enabling reproducible research. He also created the ReproducibiliTea journal club at the University of Chicago to encourage open science. You can follow William on Twitter or his website.
Colin Quirk
Colin is a PhD student in Psychology conducting research on visual working memory. He became a Carpentries instructor after leading an R workshop with Angela Li in 2019. He also leads KISS, a student group for helping social science graduate students learn new technical skills. For more info about Colin, check out his website.
Rochelle Terman
Rochelle is a Provost’s Postdoctoral Fellow in the Department of Political Science at the University of Chicago, where she’ll begin as Assistant Professor in Fall 2020. She has been a Software Carpentry for several years, and teaches computational social science at both the undergraduate and graduate levels. Her teaching materials can be found on her github page.