“My BIG summer student was outstanding! She contributed greatly to the analysis of an RNA-seq dataset, while working almost entirely independently. She went above and beyond my expectations in terms of analysis, background reading, and preparation for her lab meeting and poster. She will make a fantastic graduate student if she chooses that route. The poster session was undoubtedly a highlight with so many interesting projects.”

“I didn’t think I could learn as much as I did in BIG. The things I thought I knew, I was able to build a better understanding in, and the amount of new information/skills and knowledge I acquired is unbelievable to me.”

“Honestly I felt that this program was amazing. I was very lucky to be accepted at such a late date and coming in wasn’t sure if graduate school was a path I wanted to take. This program showed me the opportunities I would have and gave me a great understanding of what it would take to get a phd. I had a good experience from the start.”

“Our students helped the graduate students in our lab by analyzing new data sets using existing software and code that the other lab members had written. The best part of BIG Summer was that it recruited a diverse group of undergrads to UCLA and got all of them enthusiastic about bioinformatics, computational research, and grad school in general. In particular, one of my students (who had no computational background) told me on the last day that although the research was extremely challenging, the experience has given her the confidence to continue bioinformatics/computational biology research. I think the program fostered a friendly environment in which students from all backgrounds could learn.”

“The program instilled a lot of confidence in me that this was something I might actually be able to pull off and showed me what type of work I could be doing. My research was far more interesting than anything I’ve done and I think I may have learned more in these 8 weeks than I’ve learned my past 3 years in school.”

“The students finalized a much needed analysis that helped us in deciding how to plan our RNA seq data collection combined with ATACseq efforts.”

“Seriously considering applying for similar program for grad school, whereas before I did not have much experience and probably would have applied for a more “pure” biology program. Planning on applying to UCLA for grad school.”

“Before BIG Summer, I was not considering grad school seriously. But during the program, I felt that a grad degree is essential to excel in the field of my interest- data science. So, I am definitely going to attend grad school now.”

“Our students contributed to an existing project by analyzing new data sets. The best part of BIG summer is that the students can experience real research and make novel discoveries. Hopefully, this experience will steer them into considering grad school or a research career in the future.”

“BIG summer students helped with global analysis in Rett syndrome primary brain tissue. They found interesting mysregulation of RNA editing.”

“I really appreciated how caring every single staff member was, it truly felt like they all genuinely wished to help every student and make sure things were running smoothly. It was a pleasure to be able to work with such a team.”

“BIG Summer opened the doors for me to a new field of Computational Biosciences research.”

“I never experienced quantitative biology before, but now I’m definitely applying to grad programs that focus on computational biology.”

“My student was terrific. His analysis of ChIP-seq and RNA-seq data are included in a manuscript that was just submitted for publication!”

“The students processed Hi-C data and then tried to relate it to either splicing activity and histone mark levels or transcription factor binding and motif presence. Having the students created more energy in the lab and allowed exploration of additional topics.”

“My student contributed significantly to the analysis of RNA sequencing data generated from a transgenerational study of tributylin, an environmental chemical that induces metabolic diseases. The best part is the poster session. I had the opportunity to see the diverse research conducted by the students and their excellent performance.”