Jabed Tomal, PhD
Jabed Tomal, PhD
Position: Assistant Professor
InterestsResearch, Teaching, Programming, Reading, Going to Gym, Road Trips, Hiking.
Research InterestsI am a statistician with research interest in data science. The spectrum of my research encompasses big data, statistical/machine learning, data-mining and computational statistics. The main focus is in developing ensemble methods to improve prediction performances by exploiting the richness of useful variables in high-dimensional data and to identify important models and variables reflecting relationships which are used to answer research questions. I have shown applications of my research in drug discovery where the goal is to detect drug like active bio-molecules from a chemical library for development and in protein homology where the goal is to produce evolutionary sequences of proteins.
My other active research interests are in statistical ecology and Bayesian statistical inference. Currently, I am looking forward to extend the applications of my research in real-time prediction of forests fires in BC using weather, environmental, atmospheric and human-activity data.
Active research Interest: Big data, data science, statistical/machine learning, data mining, bayesian statistical inference, computational statistics, statistical ecology, drug discovery, and protein homology.
Dormant research interest: Analysis of longitudinal and event history data, medical and health care data analysis.
Education1. PhD in Statistics, University of British Columbia, Vancouver, BC, Canada
2. MSc in Statistics, University of Windsor, Windsor, ON, Canada
3. BSc (Hons) & MSc in Statistics, University of Dhaka, Dhaka, Bangladesh
1. Evans, M., and Tomal, JH. (2018). Measuring Statistical Evidence and Multiple Testing. FACETS. 3: 563-583.
2. Tomal, JH, Welch, WJ, and Zamar, RH. (2017). Discussion of ``Random-projection Ensemble Classification'' by T.I. Cannings and R.J. Samworth. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 79(4): 1024-1025.
3. Tomal, JH, Welch, WJ, and Zamar, RH. (2016). Exploiting Multiple Descriptor Sets in QSAR Studies. Journal of Chemical Information and Modeling. 56(3): 501-509.
4. Tomal, JH, Welch, WJ, and Zamar, RH. (2015). Ensembling Classification Models Based on Phalanxes of Variables with Applications in Drug Discovery. The Annals of Applied Statistics, 9(1): 69-93.
Employment History1. Assistant Professor, Department of Mathematics and Statistics, Thompson Rivers University (2018 to Date)
2. Mendelzon Visiting Assistant Professor, Department of Computer and Mathematical Sciences, University of Toronto Scarborough (2014 to 2018)
3. Postdoctoral Fellow, Department of Statistics, University of British Columbia, Vancouver (Jan 2014 to Jul 2014)
Courses Taught1. Department of Mathematics and Statistics, Thompson Rivers University
(a) STAT 2000: & Introduction to Statistics (Winter 2019)
2. Department of Computer and Mathematical Sciences, University of Toronto Scarborough
(a) STAC58H3: Statistical Inference (Winter 2018)
(b) STAC23H3: Introduction to Statistics for the Social Sciences (Winter 2018)
(c) STAC62H3: Stochastic Processes (Fall 2017)
(d) STAC67H3: Regression Analysis (Fall 2014, Fall 2015, Fall 2017)
(e) STAB57H3: An Introduction to Statistics (Winter 2015, 2016, 2017, Fall 2016)
(f) STAB52H3: An Introduction to Probability (Fall 2014)
(g) STAD92H3: Logistic Regression and Parallel Computing using R (Summer 2015)
Professional Affiliations1. Member, Statistical Society of Canada
2. Member, American Statistical Association
3. Life Member, Bangladesh Statistical Association
|Lecture STAT 2000||Monday||10:30 AM||11:20 AM|
|Office Hour STAT 2000||Monday||1:00 PM||3:00 PM|
|Seminar STAT 2000||Tuesday||11:30 AM||1:00 PM|
|Lecture STAT 2000||Wednesday||10:30 AM||11:20 AM|
|Lecture STAT 2000||Thursday||10:20 AM||11:20 AM|
|Office Hour STAT 2000||Thursday||1:00 PM||3:00 PM|