Review Body:[Imported 2022-04-04 from mysupervisor.org (2022 archival dump, via pengp25/RateMySupervisor)]
类别: U.S.
院系: 无
【评价 1 · rate 0.0/5】
自证认识导师：Assistant Professor
office: 310-C Lincoln Tower
phone: (614) 366-2298
fax: (614) 688-6600
email: <!-- e --><a href="mailto:[email\xa0protected]">[email\xa0protected]</a><!-- e -->\u200b
mailing address:
250 Lincoln Tower
1800 Cannon Drive
Columbus, OH 43210
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.
学术水平：Openings
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.
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.
Overall:1: Poor - Strongly discourage working with this advisor.
Mentoring:1: Poor - Neglectful, dismissive, or actively harmful mentoring.
Research Guidance:1: Poor - Misleading guidance; wasted substantial research time.
Funding:1: Poor - Unstable or unfair funding; impacts the student’s livelihood.
Work-Life Balance:1: Poor - No off switch; actively harms health.
Career Support:1: Poor - Actively withholds or sabotages career support.
Official Review by mysupervisor-dump-2022