Work with thought leaders and academic experts in Biostatistics

Companies can greatly benefit from working with someone whose expertise is in the field of Biostatistics. Biostatisticians can provide valuable insights and analysis for research projects, ensuring accurate and reliable results. They have the skills to design and implement robust study designs, analyze complex data sets, and interpret statistical findings. By collaborating with a Biostatistics expert, companies can make informed decisions based on data-driven evidence, optimize research methodologies, and improve the overall quality of their research. Whether it's in the pharmaceutical industry, healthcare sector, or any other field requiring data analysis, partnering with a Biostatistics researcher can lead to more successful and impactful outcomes.

Researchers on NotedSource with backgrounds in Biostatistics include Dushani L. Palliyaguru, Ph.D., Dr. Justin Whalley, Ph.D, Enrico Capobianco, Annabel Whibley, Umesh Singh, and Thomas Hampton.

Dushani L. Palliyaguru, Ph.D.

Baltimore, MD, Maryland, United States of America
16 Years Experience
Toxicologist | Aging, Nutrition and Metabolism Research Scientist | Systems Biologist
Education

University of Pittsburgh

Ph.D., Environmental and Occupational Health (Toxicology) / May, 2016

Pittsburgh, Pennsylvania, United States of America

Clark University

B.A., Biochemistry and Molecular Biology, Mathematics / May, 2009

Worcester, Massachusetts, United States of America
Experience

National Institute on Aging Intramural Research Program, Translational Gerontology Branch

IRTA Postdoctoral Fellow, K99/R00 Grant Recipient / September, 2018Present

-Leading, managing and coordinating large population longitudinal studies within US Federal Government and Industry partnerships - Successfully writing, submitting, and managing grants and manuscripts to ensure continuity of research initiatives -Hiring, mentoring, and supervising research fellows and technicians -Applying epidemiological, machine learning and data science methods to multi-omics data to characterize biomarkers of aging and aging-related diseases -Testing nutritional and pharmacological compounds for lifespan extension, and prevention of chronic diseases (eg. Alzheimer’s)

University of Pittsburgh, Department of Pharmacology and Chemical Biology

Postdoctoral Fellow / May, 2016September, 2018

Identified a novel urinary biomarker of cruciferous vegetable intake in cancer prevention clinical trials using liquid chromatography mass spectrometry -Led and managed project that showed broccoli-derived sulforaphane prevented breast cancer through altering gene expression and lipidomics profiles

Healthcare Ready

Health Policy Fellow / January, 2017January, 2018

-Synthesized data, mined literature and wrote Toolkits/ Issue Brief on “Pharmacy and Emergency Preparedness: A Landscape Analysis”

Research Expertise (17)
Nutrition
aging
Oncology
Hematology
Molecular Biology
And 12 more
About
·   Highly productive scientist with 13 years of multidisciplinary experience in toxicology, molecular nutrition, and aging/ disease biomarkers ·   Excellent communicator with proven record of advanced writing and presentation skills - manuscripts, conference presentations, and grants ·   Extensive experience in large study design, supervision and coordination, big data analysis, and management of junior scientists

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Dr. Justin Whalley, Ph.D

North Chicago, Illinois, United States of America
9 Years Experience
Assistant Professor of Bioinformatics, with experience in finding the quintessential features in large, multi-layered 'omic datasets.
Education

Université d'Évry Val-d'Essonne

Ph.D., Bioinformatics / May, 2015

Évry

University of Bristol

M.Sci., Mathematics / June, 2008

Bristol
Experience

University of Oxford

Senior Bioinformatician / 20172022

Rosalind Franklin University of Medicine and Science Chicago Medical School

Assistant Professor of Bioinformatics / 2023Present

CNAG

Postdoctoral Researcher / 20142017

Research Expertise (19)
Genomics
Bioinformatics
Immunity
Tensor decomposition
Cancer
And 14 more
About
Dr. Justin P. Whalley was educated in the UK (M.Sci. Mathematics, University of Bristol) and France (Ph.D. Bioinformatics, University of Évry). He moved to Spain to work as a postdoc at the National Center for Genomic Analysis (CNAG). During his time there, he ran the Quality Control working group for the Pan-Cancer Analysis of Whole Genomes project to assess the data coming in and reduce batch effects. This involved collaboration with researchers from the Broad Institute of MIT and Harvard, the German Cancer Research Center and the Wellcome Sanger Institute in the UK. He returned to the UK to work as a [Senior Bioinformatician at the University of Oxford](https://www.well.ox.ac.uk/people/jpw/). His time there coincided with the global pandemic and he was deeply involved in the COvid-19 Multi-omics Blood ATlas (COMBAT) consortium as the lead for the Integration (Tensor) working group. Dr. Whalley became a member of the [faculty of the Chicago Medical School at Rosalind Franklin University of Medicine and Science](https://www.rosalindfranklin.edu/academics/faculty/justin-p-whalley/) in January 2023.

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Enrico Capobianco

25 Years Experience
Expertise in network science and special interest in cancer domain. Scientific Leader, Advisor. Quant, Computational & Digital Biomedical & Health research.
Education

Stanford University

Post-doctoral Fellowship, AI, Machine & Statistical Learning, Neural Networks / 1998

Stanford, California, United States of America

University of Padua

PhD, Statistical Sciences / 1995

Padova
Experience

The Jackson Laboratory

Associate Director, Computational Systems / 20182024

Research Expertise (35)
Networks
Machine Learning
Big Data
Systems Biology & Medicine
Statistics
And 30 more
About
Enrico Capobianco is a highly experienced and accomplished expert in the fields of artificial intelligence, machine learning, and statistical learning. He holds a Post-doctoral Fellowship in AI, Machine & Statistical Learning, Neural Networks from Stanford University, which he completed in 1998. Prior to that, he received his PhD in Statistical Sciences from the University of Padua in 1995. With over 25 years of experience, Capobianco has held various positions in academia, research, and industry. Most recently, he served as the Associate Director of Computational Systems at The Jackson Laboratory, a leading non-profit research institute focused on genetics and genomics. In this role, he oversaw the development and implementation of computational systems and tools for genetic and genomic research. Throughout his career, Capobianco has published numerous articles and book chapters on topics such as machine learning, artificial intelligence, and computational biology. He has also been a keynote speaker at various international conferences and has received numerous awards and grants for his research. In addition to his professional achievements, Capobianco is known for his collaborative and innovative approach to problem-solving. He is constantly seeking new ways to apply advanced computational techniques to solve complex problems in various industries, from healthcare to finance. Overall, Enrico Capobianco is a highly respected and sought-after expert in the fields of AI, machine learning, and statistical learning. His education and experience have equipped him with the knowledge and skills to make significant contributions to the advancement of these fields.

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Example Biostatistics projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Biostatistics?

Clinical Trial Design and Analysis

A pharmaceutical company developing a new drug can benefit from collaborating with a Biostatistics expert to design and analyze clinical trials. The researcher can help determine the appropriate sample size, randomization methods, and statistical analysis techniques to ensure the study's validity and reliability. By optimizing the trial design, the company can gather accurate data and make informed decisions about the drug's efficacy and safety.

Epidemiological Studies

Companies in the healthcare sector can collaborate with Biostatistics researchers to conduct epidemiological studies. These studies aim to understand the distribution and determinants of diseases in populations. Biostatisticians can help design sampling strategies, analyze data, and interpret the results. This collaboration can provide valuable insights into disease patterns, risk factors, and potential interventions, leading to improved public health outcomes.

Genomic Data Analysis

Biotechnology companies working with genomic data can benefit from the expertise of Biostatistics researchers. These experts can analyze large-scale genomic data sets, identify genetic variations, and assess their association with diseases or traits. By collaborating with a Biostatistics researcher, companies can gain insights into the genetic basis of diseases, develop personalized medicine approaches, and improve drug discovery processes.

Healthcare Quality Improvement

Healthcare organizations aiming to improve patient outcomes and quality of care can collaborate with Biostatistics researchers. These researchers can analyze healthcare data, identify areas for improvement, and develop statistical models to evaluate interventions. By partnering with a Biostatistics expert, companies can implement evidence-based practices, reduce healthcare costs, and enhance patient safety and satisfaction.

Environmental Risk Assessment

Companies involved in environmental research and risk assessment can benefit from collaborating with Biostatistics researchers. These researchers can analyze environmental data, assess exposure risks, and model the potential impacts on human health. By working together, companies can make informed decisions about environmental policies, develop mitigation strategies, and ensure the well-being of communities and ecosystems.