Late last year, the Statistics Department interviewed Professor Xihong Lin as part of a series celebrating women in statistics and data science. Dr Lin’s research focuses on developing and applying scalable statistical and machine learning methods for big genetics and health data. For example, her research helps identify potential drug targets and precision intervention and treatment strategies. A common thread throughout the conversation with Dr. Lin was her enthusiasm for using statistical and machine learning methods to solve pressing real-world health problems that impact people’s everyday lives. Dr. Lin also provides her perspective on recruiting and retaining women in STEM fields and shares advice for women pursuing careers in academia.Learn more about Dr. Lin’s work, her inspiration, and her career path towards solving the most pressing problems related to big health data. Read full interview here.
Interview with Xihong Lin on Women in STEM
