For today’s episode, Qiqi and I talk about BI-UConn Summer Academy, an initiative we started 3 years ago to help students understand and learn the world of clinical development better and bring them networking opportunities. This hybrid academy is open to both UCOnn students and students outside of UConn. It’s sponsored by Boehringer Ingelheim.
Join us and learn more while we talk about the following points:
- Why have you started the BI Conn statistics academy?
- Who is the target audience for this academy?
- How has the academy evolved over time?
- What are your plans for 2021?
Reference:
Summer Academy website: https://events.stat.uconn.edu/BI-UConn/
Short video on academy: https://www.linkedin.com/posts/dootiroy_uconnsummeracademy2020-activity-6704186061901357056-PTL3
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Dooti Roy, PhD
Dooti is a global product owner and a principal methodology statistician who enjoys developing/deploying innovative clinical research and statistical visualization tools with expertise in creating dynamic cross-functional collaborations to efficiently solve complex problems. She is currently focused on research and methodological applications of Bayesian statistics, artificial intelligence and machine learning on clinical efficacy analyses, patient adherence, and dose-finding. She is passionate about promoting diversity and inclusion, mentoring, cross-cultural collaborations, and competent leadership development. She unwinds with painting, reading, traveling and heavy metal.
Dr. Qiqi Deng
Dr. Qiqi is a Director in Clinical Biostatistics at Boehringer Ingelheim Pharmaceutical. She is currently a member of the Methodology Expert team within global statistics, which focuses on statistical methodology innovation. Her research area covers a wide range of topics about modern clinical trials, especially the methodological and pragmatic considerations in dose-finding studies, and adaptive designs. Before she joined the methodology group, she has served as leading statistician for multiple projects, across different clinical development phases and therapeutic areas. Dr. Deng received her bachelor’s degree in Mathematics from Peking University in China, and obtained her Ph. D. in Statistics from University of Minnesota.
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This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.
