Christopher Prashad | Public Health | Best Researcher Award

Dr. Christopher Prashad | Public Health | Best Researcher Award

York University, Canada

Author Profile πŸ“š

Orcid

πŸ” Summary

Dr. Christopher Prashad is a PhD candidate in Mathematics and Statistics, specializing in Data Science for Public Health at York University. With a strong foundation in advanced quantitative research, including time series analysis, machine learning, stochastic simulation, and probabilistic programming, Dr. Prashad excels in transforming complex data into actionable insights. He has a proven track record of collaborating with academic and industry teams, effectively communicating technical concepts, and is eager to apply his skills in Data Science to drive meaningful decision-making.

πŸŽ“ Education

Dr. Prashad is currently pursuing his PhD in Mathematics and Statistics – Data Science for Public Health at York University (expected June 2025). He is also completing a MicroMasters in Finance from MIT Sloan School of Management (expected January 2025). He holds a Master’s degree in Mathematics and Statistics from York University and a Bachelor of Science in Mathematics and Chemistry from the University of Toronto.

πŸ’Ό Professional Experience

Dr. Prashad has worked as a Mathematics for Public Health Researcher at York University–Sanofi Pasteur (2022–2024), where he collaborated with pharmaceutical companies and public health organizations to drive evidence-based policies and modeling initiatives. Prior to this, he worked as a Statistician at Western University (2014–2019), conducting longitudinal studies to assess the impact of STEM education programs. He has also served as a Course Director for Statistical Methods in Health Studies at York University (2018–2019), delivering lectures and tutorials while fostering student engagement in applied statistics.

πŸ“š Academic Projects & Presentations

Dr. Prashad has contributed to several notable academic projects, such as Multiperiod Forecasting of Epidemic Prevalence using machine learning to predict the spread of flu-like illnesses, and Stochastic Threshold Analysis for SIRS Model, where he applied advanced mathematical techniques to epidemic modeling. He also analyzed Indexed GIC Investment Products using stochastic volatility models, presenting his findings to industry leaders in finance.

πŸ’» Technical Skills

Dr. Prashad is proficient in a wide range of software and analytical tools, including Python, R, MATLAB, SQL, SPSS, and C. He specializes in Time Series Analysis, Stochastic Simulation, Machine Learning, Multivariate Statistics, and Probabilistic Programming, with expertise in Bayesian Methods, Optimization, and Data Visualization.

πŸ‘©β€πŸ« Teaching Experience

As a Course Director at York University, Dr. Prashad designed and delivered lectures on statistical methods in health studies, supported diverse student learning needs, and contributed to collaborative course design and student development.

πŸ”¬ Research Interests

Dr. Prashad’s research interests lie at the intersection of data-driven public health modeling, machine learning in healthcare, and mathematical epidemiology, with a particular focus on applying quantitative analysis to solve public health challenges.

 

πŸ“– Top Noted Publications

Stochastic Threshold Analysis for Mean-Reverting SIRS Model
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Journal of Theoretical Biology
    • Year: 2024
Problems and Solutions in Modern Finance, Financial Accounting, Mathematical Methods for Quantitative Finance, and Derivatives Markets
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Independent publication
    • Year: 2024
Assessing the Impact of Community Mobility on COVID-19 Dynamics
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: PLOS Computational Biology
    • Year: 2024
State-Space Modelling for Infectious Disease Surveillance Data: Stochastic Simulation Techniques and Structural Change Detection
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Journal of Infectious Disease Modelling, Primer Articles
    • Year: 2024
State-Space Modelling for Infectious Disease Surveillance Data: Dynamic Regression and Covariance Analysis
    • Authors: Dr. Christopher Prashad (and collaborators)
    • Journal: Journal of Infectious Disease Modelling, Primer Articles
    • Year: 2024

Laurence Vaughan | Medical Diagnostics | Best Researcher Award

Dr. Laurence Vaughan | Medical Diagnostics | Best Researcher Award

Dr. Laurence Vaughan at Becton Dickinson and Company, United States

πŸ‘¨β€πŸŽ“ Professional Profile

πŸŽ“ Early Academic Pursuits

Dr. Laurence Vaughan began his academic journey at the University of Dublin, Trinity College, where he earned a BA (Honors) in Natural Sciences (Genetics) in 1986, followed by a Ph.D. in Molecular Microbiology in 1991. His doctoral research focused on the aroA gene of Aeromonas salmonicida, contributing to foundational knowledge in microbiology and vaccine development.

🏒 Professional Endeavors

Dr. Vaughan’s career spans over three decades in the biotechnology and molecular diagnostics sectors. Currently, he serves as the Director of Scientific Affairs at Becton Dickinson and Company, focusing on integrated diagnostic solutions for women’s health, particularly cervical cancer screening. His past roles include R&D leadership at QIAGEN and Corning Incorporated, where he made significant advancements in molecular assay development and product support.

🌟 Contributions and Research Focus

Dr. Vaughan has led teams in developing groundbreaking products such as the BD Onclarity cervical cancer screening test, which received CE Mark approval in 2014 and US-PMA approval in 2018. He has authored content for international conferences and peer-reviewed publications, emphasizing his commitment to advancing scientific knowledge and product innovation in the diagnostics field.

🌍 Impact and Influence

His work has not only shaped diagnostic guidelines but has also influenced industry standards, as seen with the American Society for Colposcopy and Cervical Pathology (ASCCP) management guidelines launched in 2020. Dr. Vaughan’s expertise is recognized internationally, making him a sought-after speaker at various conferences.

πŸ“š Academic Cites

Dr. Vaughan has made notable contributions to the field of vaccinology, evidenced by multiple patents and publications. His editorial experience as the Editor-in-Chief of “Diseases of Aquatic Organisms” from 1995 to 1999 further underscores his leadership in academic discourse.

πŸ”§ Technical Skills

Dr. Vaughan possesses extensive technical skills in molecular biology, microbiology, and genetics. His proficiency in managing clinical trials, particularly in the R&D lead for Onclarity HPV clinical trials, highlights his ability to oversee complex scientific projects.

πŸ‘©β€πŸ« Teaching Experience

Throughout his career, Dr. Vaughan has demonstrated a passion for education and mentorship. He has developed and delivered training for global customers and internal teams, showcasing his strong communication and interpersonal skills.

πŸ… Legacy and Future Contributions

Dr. Vaughan’s legacy includes a robust portfolio of innovations and leadership in the biotech field. His achievements, such as the Becton Dickinson Wesley J. Howe Award for Technological Innovation in 2013, reflect his dedication to advancing science and technology. Looking ahead, he aims to continue contributing to the development of effective diagnostic solutions and vaccines, focusing on emerging health challenges.

 

πŸ“– Top Noted Publications

Variables that impact HPV test accuracy during vaginal self collection workflow for cervical cancer screening

Authors: Vaughan, L., Gary, D., Shah, M., Galbraith, L., Parvu, V.
Journal: Gynecologic Oncology Reports
Year: 2024

Risk stratification of HPV-positive results using extended genotyping and cytology: Data from the baseline phase of the Onclarity trial

Authors: Stoler, M.H., Parvu, V., Yanson, K., Andrews, J., Vaughan, L.
Journal: Gynecologic Oncology
Year: 2023

Validation of a New High-Throughput BD COR System Using the BD CTGCTV2 Assay

Authors: Taylor, S., Rucki, A., Lockamy, E., Vaughan, L., Greene, W.
Journal: Journal of Molecular Diagnostics
Year: 2022

Evaluation of the Onclarity HPV assay on the high-throughput COR system

Authors: Taylor, S.N., Eckert, K., Rucki, A.A., Vaughan, L.M., Greene, W.H.
Journal: Expert Review of Molecular Diagnostics
Year: 2021

Cotesting in cervical cancer screening

Authors: Malinowski, D.P., Broache, M., Vaughan, L., Andrews, J., Gary, D.
Journal: American Journal of Clinical Pathology
Year: 2021

Analytical and clinical sample performance characteristics of the onclarity assay for the detection of human papillomavirus

Authors: Young, S., Vaughan, L., Yanson, K., Cooper, C.K., van der Pol, B.
Journal: Journal of Clinical Microbiology
Year: 2021