自证认识导师：Assistant Professor<br><br>office: 310-C Lincoln Tower<br>phone: (614) 366-2298<br>fax: (614) 688-6600<br>email: &lt;!-- e --&gt;&lt;a href="mailto:<a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="752d1c145b3b1c1b12351a060018165b101100">[email\xa0protected]</a>"&gt;<a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="90c8f9f1bedef9fef7d0ffe3e5fdf3bef5f4e5">[email\xa0protected]</a>&lt;/a&gt;&lt;!-- e --&gt;\u200b<br><br>mailing address:<br>250 Lincoln Tower <br>1800 Cannon Drive<br>Columbus, OH 43210<br><br>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.<br><br>学术水平：Openings<br>The Lab provides unique opportunities and environment for the development of cutting-edge computational methods and the application of such methods in high-impact, real-life medical and health problems.<br>The Lab currently (as of Aug 1, 2018) has multiple openings for Ph.D students, MS/undergrad students, postdocs and visiting scholars. Please check the corresponding pages under “Openings” for more information.