Assistant Professor in EMSE, joint appointment with Biological Sciences
**Currently seeking motivated PhD students who are interested in data analytics, artificial intelligence or precision medicine to start Spring or Fall 2023. Fully-funded PhD positions_Liu Lab_Missouri S&T.pdf
Dr. Jinling Liu is Assistant Professor in the department of Engineering Management and Systems Engineering and the department of Biological Sciences at Missouri S&T.Dr. Liu holds a Ph.D degree in Biology from the Pennsylvania State University as well as an MS degree in Biomedical Informatics from the University of Pittsburgh. Before joining Missouri S&T, Dr. Liu was a National Library of Medicine Postdoctoral Fellow in Biomedical Informatics. Dr. Liu has extensive experience in Big Data Analytics, Cloud-computing, Systems Biology, Multi-omics and Diseases, Bayesian Inference and Machine Learning techniques.
Dr. Liu's major research interest lies in modeling the rapidly-accumulating big data in biology and medicine for precision medicine. Her unique expertise in both biology and informatics not only allows her to identify interesting biomedical problems to model, but also helps build a better model with molecular-level biological understanding of the complex data. One main theme of her research is to infer from the multi-omics data the activation states of signaling pathways and utilize such information in precision medicine.
She is also collaborating with researchers in other domains (eg, ML-assisted alloy design) for Data Analyticsand Decision Making.
New Faculty 2019-2020; Investigator of Intelligent Systems Center, High Performance Computing Center, and Center for Biomedical Research.
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About Jinling Liu
**Currently seeking motivated PhD students who are interested in data analytics, artificial intelligence or precision medicine to start Spring or Fall 2023. Fully-funded PhD positions_Liu Lab_Missouri S&T.pdf
Dr. Jinling Liu is Assistant Professor in the department of Engineering Management and Systems Engineering and the department of Biological Sciences at Missouri S&T.Dr. Liu holds a Ph.D degree in Biology from the Pennsylvania State University as well as an MS degree in Biomedical Informatics from the University of Pittsburgh. Before joining Missouri S&T, Dr. Liu was a National Library of Medicine Postdoctoral Fellow in Biomedical Informatics. Dr. Liu has extensive experience in Big Data Analytics, Cloud-computing, Systems Biology, Multi-omics and Diseases, Bayesian Inference and Machine Learning techniques.
Dr. Liu's major research interest lies in modeling the rapidly-accumulating big data in biology and medicine for precision medicine. Her unique expertise in both biology and informatics not only allows her to identify interesting biomedical problems to model, but also helps build a better model with molecular-level biological understanding of the complex data. One main theme of her research is to infer from the multi-omics data the activation states of signaling pathways and utilize such information in precision medicine.
She is also collaborating with researchers in other domains (eg, ML-assisted alloy design) for Data Analyticsand Decision Making.
New Faculty 2019-2020; Investigator of Intelligent Systems Center, High Performance Computing Center, and Center for Biomedical Research.
| 2020 - Present | Assistant Professor, Missouri University of Science and Technology ‐ Engineering Management and Systems Engineering | |
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| 2020 - Present | Assistant Professor, Missouri University of Science and Technology ‐ Biological Sciences | |
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| 2017 - 2019 | NLM Postdoctoral Fellow in Biomedical Infomatics, University of Pittsburgh | |
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| 2015 - 2017 | Senior Research Specialist, UPMC Hillman Cancer Center, University of Pittsburgh | |
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Disciplines
Research Interests
Grants
| 2022 - Present | A novel framework for estimating personalized genomic variants of hypertension for precision medicine |
| NHLBI, NIH | |
| Career Development (K01) Award | |
| Role: PI | |
| $721,025 | |
| 2022 - Present | Investigation and deployment of novel Bayesian inference algorithms in the cloud-computing platform of CAVATICA to identify genomic causes of congenital heart defects from Kids First and INCLUDE datasets |
| NIH | |
| INCLUDE Cloud Credit Program | |
| Role: PI | |
| $6,000 | |
| 2021 - 2022 | Develop and apply a novel instance-specific causal inference tool for identifying causal genomic variants of pediatric conditions |
| Center for Biomedical Research, Missouri S&T | |
| Role: PI | |
| $15,000 | |
| 2021 - 2022 | Lightweight Alloy Design by Machine Learning |
| Intelligent Systems Center, Missouri S&T | |
| Role: PI | |
| $9,648 | |
| 2020 - 2021 | Apply and evaluate an instance-specific causal machine learning framework for identifying the causative genomic variants of cardiovascular diseases |
| NHLBI, NIH | |
| BioData Catalyst Fellowship Award | |
| Role: PI | |
| $69,733 |
Honors and Awards
- NHLBI BioData Catalyst Fellowship, National Heart, Lung, and Blood Institute, NIH, 2020 - 2021
- National Library of Medicine Postdoctoral Fellowship, Department of Biomedical Informatics, University of Pittsburgh, 2017-2019
- Braddock Scholarship, the Eberly College of Science, Pennsylvania State University, 2009
- Second Class Scholarship, East China Normal University, 2007
- Third Class Scholarship, East China Normal University, 2006
Courses
- ENG MGT 5412 Operations Management Science
- BIO SCI 4393 Immunology
- ENG MGT 3310 Operations and Production Management
| 2019 | M.S. in Biomedical Informatics, University of Pittsburgh | |
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| 2014 | Ph.D. in Biology, The Pennsylvania State University | |
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| 2008 | B.S. in Biotechnology, East China Normal University | |
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Contact Information
Missouri University of Science and Technology
219 Engineering Management
Rolla, MO 65409
(573) 341-4150
Email:
