Highly accomplished Translational Scientist and Postdoctoral Fellow with a robust foundation in advanced statistical modeling, bioinformatics, and multi-omics integration. Expert in leveraging longitudinal dietary, microbiome, and metabolomics data to uncover personalized responses, identify early warning signals, and guide precision dietary interventions in Crohn's disease.
Postdoctoral Fellow (Translational Scientist)
Toronto, Ontario, Canada
→
Summary
As a Postdoctoral Fellow, led advanced statistical modeling and multi-omics integration to drive precision dietary interventions and uncover disease mechanisms in Crohn's disease.
Highlights
Led the integration of longitudinal dietary and microbiome data, enabling precise characterization of personalized dietary effects and disease susceptibility in first-degree relatives of Crohn's patients.
Pioneered multi-omics data integration (dietary, microbiome, metabolomics, proteome) to elucidate disease heterogeneity and pathogenesis among Crohn's disease patients and their relatives.
Developed and applied advanced mixed-effects Bayesian network models and dynamic network biomarkers (DNBs) to identify critical early molecular signals linked to disease onset and progression.
Assistant Professor
J&K, Jammu and Kashmir, India
→
Summary
As an Assistant Professor, returned to a leadership role in mathematical sciences education, focusing on advanced statistical methodologies and impactful student mentorship.
Highlights
Designed and delivered comprehensive curricula in mathematical sciences, enhancing student comprehension in advanced statistics and data analysis for over 100 students annually.
Supervised 8 B.Sc. and M.Sc. student research projects, including studies on student performance and COVID-19 patient length of stay, guiding them from methodology to publication.
Mentored students in applying complex statistical methodologies, including regression modeling and data interpretation, fostering independent research capabilities.
Guest Faculty
Kashmir, Jammu and Kashmir, India
→
Summary
As Guest Faculty, provided specialized instruction in economics, focusing on quantitative methods and statistical applications to enhance student analytical capabilities.
Highlights
Instructed economics students in quantitative methods and statistical applications, strengthening their analytical and empirical research skills.
Developed and presented specialized lectures on economic modeling and data analysis, preparing students for advanced coursework and research.
Assistant Professor
J&K, Jammu and Kashmir, India
→
Summary
As an Assistant Professor, delivered comprehensive instruction in mathematical sciences and supervised student research projects, significantly enhancing academic outcomes.
Highlights
Designed and delivered comprehensive curricula in mathematical sciences, enhancing student comprehension in advanced statistics and data analysis for over 100 students annually.
Supervised 8 B.Sc. and M.Sc. student research projects, including studies on student performance and COVID-19 patient length of stay, guiding them from methodology to publication.
Mentored students in applying complex statistical methodologies, including regression modeling and data interpretation, fostering independent research capabilities.
→
Ph.D.
Statistics
Courses
Thesis: Count Models Generated by Negative Binomial Distribution and their Applications
→
M.Sc.
Statistics (Actuarial Sciences)
→
B.Sc.
Actuarial and Financial Mathematics
Published by
Advances in the Theory of Nonlinear Analysis and its Applications
Summary
Introduced a novel statistical model for analyzing structural properties and real-life applications.
Published by
Annals of Data Science
Summary
Developed a new class of distribution with bounded support and its corresponding regression model.
Published by
Handbook of Statistics and Research in the Covid-19 Pandemic
Summary
Contributed a chapter on a new mixed generalized negative binomial distribution in the context of COVID-19 research.
Published by
American Journal of Business and Operations Research
Summary
Presented an innovative additive mathematical model for business and operations research applications.
Published by
Communications in Statistics - Theory and Methods
Summary
Investigated the Uniform-Negative Binomial Distribution, incorporating the Gauss Hypergeometric Function.
Published by
Austrian Journal of Statistics
Summary
Proposed a zero-inflated modified Borel-Tanner regression model specifically for count data analysis.
Published by
Thailand Statistician
Summary
Explored the properties and applications of the Negative Binomial–Reciprocal Inverse Gaussian Distribution.
Published by
Journal of Applied Probability and Statistics
Summary
Analyzed the characteristics and applications of the Negative Binomial-Janardan Distribution.
Published by
ICRITO Conference
Summary
Presented research on a Non-Central Negative Binomial Regression Model at the ICRITO Conference.
Published by
Journal of Applied Probability and Statistics
Summary
Developed a weighted analogue of the Inverse Levy Distribution for advanced statistical applications.
R, Python, SPSS, Mathematica, MS Excel, Count Data Modeling, Regression Analysis, Longitudinal Modeling, Bayesian Modeling, Mixed-Effects Modeling.
Shallow shotgun sequencing analysis, Linux-based workflows, Multi-omics Integration, Microbiome Analysis, Metabolomics, Proteome Analysis, Dynamic Network Biomarkers (DNBs).
LaTeX, Research Methodology, Scholarly Writing, Statistical Analysis, Data Interpretation, Experimental Design, Critical Transitions, Stability Models.
Crohn's Disease, Inflammatory Bowel Disease (IBD), Personalized Nutrition, Precision Medicine.
→
Summary
Served as Co-Principal Investigator for a project funded by the JK Science Technology & Innovation Council to analyze tourist behavior.