Alison Lin
About Alison Lin
Alison Lin serves as the Lead for Training, Workforce Development, and Community Engagement at the NIH Office of Data Science Strategy, focusing on initiatives that promote a diverse data science workforce. She holds a PhD in Physics/Biophysics from the University of California, Santa Barbara, and has previously worked at Harvard Medical School as an Instructor in Medicine and a Postdoctoral Research Fellow.
Current Role at National Institutes of Health
Alison Lin serves as the Lead for Training, Workforce Development, and Community Engagement at the NIH Office of Data Science Strategy. In this role, she focuses on community engagement initiatives and develops programs aimed at building a diverse data science workforce. Her work contributes to the strategic goals of the NIH in enhancing data science capabilities and fostering inclusive practices within the scientific community.
Education and Expertise
Alison Lin earned her Bachelor of Science (B.S.) in Physics, summa cum laude, from the University of Minnesota-Twin Cities, where she studied from 1989 to 1993. She furthered her education at the University of California, Santa Barbara, obtaining a Doctor of Philosophy (PhD) in Physics/Biophysics between 1993 and 2001. Her academic background provides a strong foundation for her work in data science and community engagement.
Previous Experience at Harvard Medical School
Prior to her current position, Alison Lin worked at Harvard Medical School for over six years. She served as an Instructor in Medicine from 2006 to 2012, following her role as a Postdoctoral Research Fellow from 2001 to 2006. During her time at Harvard, she contributed to medical education and research, enhancing her expertise in the field.
Focus on Community Engagement Initiatives
In her current role at the NIH, Alison Lin emphasizes community engagement initiatives. She is responsible for developing and managing programs that aim to involve diverse communities in data science. Her efforts are directed towards creating opportunities for underrepresented groups in the field, aligning with the NIH's commitment to diversity and inclusion.