The Consulting Section Executive Committee is pleased to present a panel webinar titled "Bridging the Gap: Essential Skills for Statisticians in a Collaborative, Interdisciplinary, and AI-Driven World" on Thursday, October 9, from 2-3 PM ET. Please see the details below.
Link: Join the Webinar
In today's rapidly evolving landscape, statisticians are called upon to do more than just analyze data; they must become effective communicators and collaborators. Join us for an engaging webinar that will equip you with the essential skills needed to thrive in a collaborative, interdisciplinary, and AI-driven world.
What You Will Learn:
- Practical strategies for translating complex statistical findings into clear messages for diverse audiences.
- Techniques for asking the right questions during collaborations and effectively navigating the dynamics of remote teamwork.
- Insights on overcoming imposter syndrome, building confidence in the age of AI, and balancing learning and experience across disciplines.
- Proven mentoring and training models to support your career development.
This webinar will kick off with pre-planned questions, followed by a Q&A session.
Panelists:
- Manisha Desai, PhD: Manisha Desai, PhD, is the Kim and Ping Li Professor of Medicine, Biomedical Data Science, and Epidemiology and Population Health. She also serves as the Associate Dean of Quantitative and Data Sciences in the Stanford School of Medicine. Dr. Desai is the founding Director of the Stanford Quantitative Sciences Unit (QSU), a collaborative unit comprised of faculty, staff, and trainees who practice data science to address biomedical questions relevant for public health. The QSU relies on team science principles to provide robust data science infrastructure for numerous initiatives throughout the Stanford School of Medicine including studies supported by the Stanford Cancer Institute. Dr. Desai has been involved in several efforts to design studies that evaluate the utility of AI-based interventions. Her other methodological areas of interest include the handling of missing data; translating trial findings to real-world target populations; and integration of real-world data, like mobile health and electronic health records, into clinical trials.
- Kim Love: Kim Love is a private statistical collaborator currently in Athens, Georgia. She is an active member of the American Statistical Association (ASA) and the Section on Statistical Consulting, as well as an elected member of the International Statistical Institute (ISI). She has been a career statistical collaborator for more than 15 years. Her current areas of specialization include nursing and health sciences, veterinary sciences, and social sciences. Her professional mission is to improve researchers' relationships with statistics and data science through education and individual collaboration.
- Brian Millen: Brian Millen is the Vice President and Global Head of Biostatistics and Real World Data Analytics at Biogen with extensive experience in interdisciplinary research in the pharmaceutical industry. He leads teams that integrate biostatistics, data science, and real-world evidence to accelerate drug development and improve patient outcomes. With a career spanning over two decades, Brian has held leadership roles in clinical development, biometrics, and data analytics, and is recognized for advancing innovative statistical methodologies and fostering cross-functional collaboration to drive evidence-based decision-making.
Whether you are a seasoned statistician or new to the field, this webinar promises valuable insights and practical tools to enhance your collaborative skills.
We look forward to seeing you there!
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David Agboola, PhD
Senior Statistician | Procter & Gamble
Council of Sections Representative | ASA CNSL
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