Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

Dr. Samprit Banerjee, Weill Medical College of Cornell University, United States

Dr. Samprit Banerjee is an Associate Professor of Biostatistics at the Weill Medical College of Cornell University, where he has held various academic appointments since 2011. He currently serves as an Associate Professor in both the Division of Biostatistics and the Department of Psychiatry, as well as the Director of the PhD program in Population Health Sciences. Dr. Banerjee’s expertise lies in biostatistics, data science, and epidemiology, with a focus on statistical methods for health research and healthcare policy. He is also a Special Government Employee at the FDA, contributing to the Center for Devices and Radiological Health. Dr. Banerjee has a distinguished academic background, holding a B.Stat and M.Stat from the Indian Statistical Institute, Kolkata, and a PhD in Biostatistics from the University of Alabama at Birmingham. His teaching experience includes directing multiple graduate-level courses in biostatistics, statistical learning, and big data in medicine. Throughout his career, he has mentored numerous junior researchers and contributed to the development of MS and PhD programs in Biostatistics and Data Science. Dr. Banerjee has also served as an elected representative for the Mental Health Statistics Section of the American Statistical Association.

Professional Profile:

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Summary of Suitability for Excellence in Innovation

Samprit Banerjee, PhD, is highly suitable for the “Research for Excellence in Innovation” award based on his extensive academic background, research contributions, and leadership roles in biostatistics, epidemiology, and data science. His expertise in high-dimensional data analysis, machine learning, and multivariate statistics, combined with his significant contributions to medical and healthcare research, makes him a standout candidate.

Education:

1998-2001: B.Stat (Bachelors in Statistics), Indian Statistical Institute, Kolkata, India
2001-2003: M.Stat (Masters in Statistics), Indian Statistical Institute, Kolkata, India
2003-2008: PhD in Biostatistics, Department of Biostatistics, University of Alabama at Birmingham

Work Experience:

Jan 2020 – Present: Associate Professor, Division of Biostatistics, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
May 2023 – Present: Associate Professor of Biostatistics, Department of Psychiatry, Weill Medical College, Cornell University, New York, NY
Jan 2018 – Jan 2020: Associate Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
Jan 2018 – Present: Adjunct Associate Professor, Department of Statistics and Data Science, Cornell University, Ithaca, NY
Nov 2020 – Present: Director (Founding) of PhD Program in Population Health Sciences, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
2014 – Present: Special Government Employee, Center for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA), Silver Springs, MD
2022 – 2024: Elected Council of Sections Representative for the Mental Health Statistics Section of American Statistical Association (ASA)

Past Positions:

2016 – 2020: Director (Founding) of MS Program in Biostatistics & Data Science, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
May 2011 – Dec 2017: Assistant Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
May 2011 – Dec 2017: Adjunct Assistant Professor, Department of Statistical Science, Cornell University, Ithaca, NY
Aug 2008 – May 2011: Instructor, Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York, NY
Jun 2005 – Aug 2008: Graduate Research Assistant, Department of Biostatistics, University of Alabama, Birmingham (Supervisor: Dr. Nengjun Yi) – Developed Bayesian methods for detecting gene by gene and gene by environment interactions for QTLs in inbred mice.
Aug 2003 – Jun 2005: Graduate Research Assistant, Department of Biostatistics, University of Alabama at Birmingham (Supervisor: Dr. Varghese George) – Worked on Marginal Structural Models to investigate genetic effects in AIDS and developed Bayesian methods for QTL detection in Human Genetics.

Publication top Notes:

Perioperative comparative effectiveness of anesthetic technique in orthopedic patients

CITED:581

Rearrangements of the RAF kinase pathway in prostate cancer, gastric cancer and melanoma

CITED:556

Mechanism-based epigenetic chemosensitization therapy of diffuse large B-cell lymphoma

CITED:219

Epigenetic repression of miR-31 disrupts androgen receptor homeostasis and contributes to prostate cancer progression

CITED:195

Elevated prefrontal cortex GABA in patients with major depressive disorder after TMS treatment measured with proton magnetic resonance spectroscopy

CITED:156

R/qtlbim: QTL with Bayesian interval mapping in experimental crosses

CITED:153

Prof. Youngbok Kim, Pukyong National University, South Korea

Youngbok Kim is a distinguished professor in the Department of Mechanical System Engineering at Pukyong National University in Busan, Korea.he has built a robust academic career, beginning as a researcher at Pukyong National University from April 1996 to February 2000. He then served as a research professor at Gyeongsang National University for one year before taking on a lecturer role at Kunsan National University from March 2001 to February 2002. Since March 2002, he has held a full professorship at Pukyong National University, where he continues to contribute to the field of engineering. Youngbok Kim earned his Ph.D. in Engineering from Kobe University in Japan in March 1996, following an M.S. in Control Engineering from Pukyong National University in February 1991 and a B.S. in Marine Engineering from the same institution in February 1989. His extensive research and teaching experience make him a prominent figure in mechanical system engineering.

Summary of Suitability for Best Researcher Award: Youngbok Kim

Overview: Youngbok Kim is a distinguished professor in the Department of Mechanical System Engineering at Pukyong National University, South Korea, with an extensive background in engineering research and education. His career spans nearly three decades, showcasing his commitment to advancing mechanical and control engineering. His robust academic background, coupled with a substantial portfolio of published research, makes him an exemplary candidate for the Best Researcher Award.

Education

Ph.D. in Engineering
Kobe University, Kobe, Japan
March 1996
M.S. in Control Engineering
Graduate School of Pukyong National University, Busan, Korea
February 1991
B.S. in Marine Engineering
Pukyong National University, Busan, Korea
February 1989

Work Experience

Professor (Full)
Pukyong National University, Busan, Korea
March 2002 – Present
Lecturer
Kunsan National University, Kunsan, Korea
March 2001 – February 2002
Research Professor
Gyongsang National University, Korea
March 2000 – February 2001
Researcher
Pukyong National University, Korea
April 1996 – February 2000