Health Innovation Professor Ujjal Kumar Mukherjee
Ujjal Kumar Mukherjee
Health Innovation Professor, Biomedical and Translational Sciences
(217) 265-5565
ukm@illinois.edu
306 Wohlers Hall
1206 S. Sixth
Champaign, IL 61820
Healthcare management | Precision medicine | Healthcare financing | Social healthcare | Pharmaceutical drugs and medical device quality and supply chain management
Projects Available for Carle Illinois College of Medicine Student Participation
List of Projects -
Here is a list of projects that I have done. I am continuing extensions of these and other projects in the same domain.
1. Single-cell analysis of targeted transcriptome predicts drug sensitivity of single cells within human myeloma tumors.
2. A gene expression signature distinguishes innate response and resistance to proteasome inhibitors in multiple myeloma.
3. Product recall decisions in medical device supply chains: a big data analytic approach to evaluating judgment bias.
4. Evaluation of reopening strategies for educational institutions during COVID-19 through agent-based simulation.
5. Robot‐assisted surgical care delivery at a hospital: Policies for maximizing clinical outcome benefits and minimizing costs.
6. Delivering Long‐term Surgical Care in Underserved Communities: The Enabling Role of International NPO s as Partners.
7. secDrug: a pipeline to discover novel drug combinations to kill drug-resistant multiple myeloma cells using a greedy set cover algorithm and single-cell multi-omics.
8. Integrating Pharmacogenomics Data-Driven Computational Drug Prediction with Single-Cell RNAseq to Demonstrate the Efficacy of a NAMPT Inhibitor against Aggressive, Taxane-Resistant, and Stem-like Cells in Lethal Prostate Cancer.
9. Epidemic Modeling, Prediction, and Control.
10. Major risk factors associated with severe COVID-19 outcomes in patients with multiple myeloma: Report from the National COVID-19 Cohort Collaborative (N3C).
11. Sample average treatment effect on the treated analysis using counterfactual explanation identifies BMT and SARS-CoV-2 vaccination as protective risk factors associated with COVID-19 severity and survival in patients with multiple myeloma.
12. Not All Covid-19 Waves are Similar: Origins, Detection and Mitigation Strategies for Simultaneous Waves.
Why I'm Motivated to be a HIP Faculty Member:
My primary motivation for applying to be a HIP Faculty member is to be able to work with MD students, other researchers, and practitioners to understand health care delivery better and conduct research that is practically relevant and significant.
Carle Illinois College of Medicine Related Research
Professor Mukherjee's primary research interest is in using data analytics, econometrics and analytical modeling tools to understand important questions related to healthcare management and healthcare delivery. Professor Mukherjee works with health care delivery organizations such as hospitals and clinics to understand practically relevant issues related to health care delivery and help improve the process of healthcare delivery. Accordingly, he has studied robotic surgical technology adoption and usage at a large multi-specialty hospital in Midwestern United States and conducted detailed data analysis to suggest hospital level policies for improving the efficiency and effectiveness of surgical care delivery using robots. He has also collaborated with a large chain of clinics in the United States to improve delivery of chronic care by combining physical and remote encounters in a optimal and customized manner for different patient groups based on risk factors such as access, age, affordability and clinical risks. In clinical healthcare, he has worked extensively in delivering precision medicine for multiple myeloma patients. Professor Mukherjee has worked on identifying genetic markers of drug response and resistance, developing combination therapies, and understanding the effect of COVID-19 on cancer patients' mortality risks. Recently, Professor Mukherjee has worked extensively with SHIELD Illinois and other research groups for modeling COVID-19 related issues such as prediction, detection of super-spreader shocks, and optimal mitigation measures such as lock-down, contact-tracing, isolation and testing.