Dr. Xia Ning (宁夏; Ning is the last name)

Assistant Professor (CV)
Biomedical Informatics (BMI), College of Medicine, OSU
Computer Science and Engineering (CSE), College of Enginering, OSU

310C Lincoln Tower, 1800 Cannon Drive, Columbus, OH 43210
Phone: (614) 366-2298, Fax: (614) 688-6600, email: my_last dot 104 at osu dot edu

Ning received her Ph.D degree from the Computer Science & Engineering Department, University of Minnesota, Twin Cities, in 2012. Her advisor is Prof. George Karypis. From University of Minnesota, Twin Cities, she also received her M.S. degree in Computer Science, and M.S. degree in Statistics from the School of Statistics. She received her B.S. degree in Computer Science from the Chu Kechen Honors College (an elite college), Zhejiang University, China. She was a researcher at the Autonomic Management Department, NEC Labs America in 2012-2014, and a tenure-track Assistant Professor at the Computer and Information Science Department (a Purdue Ph.D. program), Indiana University – Purdue University Indianapolis (IUPUI) in 2014-2018. At IUPUI, Ning was also a member of the Center of Computational Biology and Bioinformatics (CCBB) and an affiliated research scientist with Regenstrief Institute. Ning joined The OSU as a tenure-track Assistant Professor in July, 2018.

Ning was trained as a Computer Scientist. Ning’s research is on Data Mining, Machine Learning and Big Data Analytics, and their applications in Chemical Informatics, Drug Development, Medical Informatics and Health Informatics. She develops efficient data mining and machine learning methodologies to facilitate rapid and targeted exploration over chemical and biological spaces, and effective computational algorithms (e.g., recommendation,  information retrivial) to analyze medical and healthcare data (e.g., electronic medical records, pharmacovigilance data). Her Ph.D. thesis was on Recommender Systems. Her research is currently supported by NSF and NIH.

Some highlights: Ning won the IUPUI School of Science Pre-Tenure Research Award in 2018; mentored a team of 4 graduate students who were placed the 2nd in the Data Analytics Track, Indiana Medicaid Data Challenge, 2017; won the NEC Excellent Invention Award 2016; mentored  an M.S. student ranked 16 in the intenational RecSys (recommender system) Challenge 2015; won the Roberto Patine Scholarship, Qualcomm CR&D, during her internship in 2009; was exempted from the National Higher Education Entrance Examination of China and admitted to the Mixed Class, Chu Kochen Honors College, Zhejiang University; won the first prize in the National Olympic Competition of Physics, China, 2000 and was placed among top 120 in the final.