In the six weeks between June 17th and July 26th, 2019, I was extremely lucky to be part of the Big Data Summer Institute (BDSI) at the University of Michigan at Ann Arbor. The program introduces undergraduate students to the intersections of data science and human health with mornings lectures and afternoon research sessions. At the end of the six weeks, we presented our research at the Symposium along guest speakers. The guest speakers shared about their own research in the age of Big Data.
In this website I would like to share about my own academic experience at BDSI.
Note that this website is created to reflect my personal involvement with the program. If you want to learn more about the research projects of other teams or past editions of BDSI, please check-out the program's website and wiki-page.
I would like to express my sincere gratitude to everyone who made the Big Data Summer Institute such a wonderful experience.
A special thanks goes to Dr. Bhramar Mukherjee for creating the program five years ago and continuing to inspire students with her passion about Biostatistics up to this day.
I am also extremely grateful to all the lecturers who enlightened us with knowledge in the many intersections of Data Science and Human Health and shared their invaluable experience with us. I also want to thank them for carefully preparing the presentations and other materials. I added these to the sections Lectures and Symposium.
I would also like to extend my gratitude to Dr. Johann Gagnon-Bartsch, Dr. Johnathan Terhorst, and PhD students Zoe Rehnberg and Anwesha Bhattacharyya for guiding us through the research project. Their mentorship was instrumental to my experience at BDSI. I put the theory into practice and developed a feeling of statistics and biostatistics research. An excellent bridge between the morning lectures and the research sessions are the slides which the graduate students supplied us with. These are shared under the section Research Lectures.
Finally, many thanks to all my peers participating in the program. Specifically, I would like to acknowledge my sincere gratitude to James Carzon, Karen Gao, and Kailey Mulligan. Working with them on the project was not only a tremendous research experience, but also great fun. Some of the work that we did as a team is located in Research Code and Presenting Research. Also, special thanks to James Carzon for proofreading this website.