Thompson Rivers University

Jabed Tomal, PhD

Name: Jabed Tomal, PhD
Position: Assistant Professor
Phone: +1-250-828-5210
Email: jtomal@tru.ca

Links

Homepage URL: faculty.tru.ca/jtomal/

Interests

Reading; Gym; Road Trip; Hiking

News: https://inside.tru.ca/2021/06/15/discovery-grants-support-innovative-tru-researchers/

Research Interests

Statistical machine learning; Bayesian statistical inference; statistical ecology; analysis of longitudinal and event history data; medical and health care data analysis

I am a statistician with research interest in statistical machine learning, Bayesian statistical inference and statistical ecology. My main focus in research is in developing ensemble method to improve its prediction performance by exploiting the richness of useful variables in high-dimensional data and identify important models and variables to answer important research question. I have shown application of my ensemble/model in (i) drug discovery to detect drug like active bio-molecules for development and (ii) protein homology to detect homologous proteins and produce evolutionary sequences of proteins. These days, I am focusing more on developing Bayesian and computational models for ecology, health-care, housing market, and genetics data

Note: I am currently hiring research students. For details, please check my website at faculty.tru.ca/jtomal/ under prospective students

Education

1. PhD in Statistics, Department of Statistics, University of British Columbia, Vancouver, BC, Canada

2. MSc in Statistics, Department of Mathematics and Statistics, University of Windsor, Windsor, ON, Canada

3. MSc and BSc (Hons) in Statistics, Department of Statistics, University of Dhaka, Dhaka, Bangladesh

Publications

Selected Publications:

1. Atkins, M., Howarth, C., Russello, M., Tomal, J., and Larsen, K. (2021). Evidence of intrapopulation differences in rattlesnake defensive behavior across neighboring habitats. Behavioral Ecology and Sociobiology (Springer). Accepted.

2. Tomal, JH., and Rahman, H. (2021). A Bayesian piecewise linear model for the detection of breakpoints in housing prices. METRON (Springer). 79(3): 361-381. https://doi.org/10.1007/s40300-021-00223-8

3. Hsu, GG., Tomal, JH., and Welch, WJ. (2021). EPX: An R package for the ensemble of subsets of variables for highly unbalanced binary classification. Computers in Biology and Medicine (Elsevier). 136: 104760.
https://doi.org/10.1016/j.compbiomed.2021.104760

4. Khan, JR., Tomal, JH., and Raheem, E. (2021). Model and Variable Selection using Machine Learning Methods with Applications to Childhood Stunting in Bangladesh. Informatics for Health and Social Care (Taylor and Francis). 0: 1-18. https://doi.org/10.1080/17538157.2021.1904938

5. Tomal, JH., Rahmati, S., Boroushaki, S., Jin, L., and Ahmed, E. (2021). The Impact of COVID-19 on Students' Marks: A Bayesian Hierarchical Modeling Approach. METRON (Springer). 79: 57-91. https://doi.org/10.1007/s40300-021-00200-1

6. Tomal, JH., and Ciborowski, JJH. (2020). Ecological Models for Estimating Breakpoints and Prediction Intervals. Ecology and Evolution (Wiley). 10: 13500-13517. https://doi.org/10.1002/ece3.6955

7. Tomal, JH., Hsu, G., Welch, WJ., and Wang, M. (2020). EPX: Ensemble of Phalanxes. R package version 1.0.3. https://cran.r-project.org/web/packages/EPX/index.html

8. Evans, M., and Tomal, JH. (2018). Measuring Statistical Evidence and Multiple Testing. FACETS. 3: 563-583. https://doi.org/10.1139/facets-2017-0121

9. 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

10. 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

11. 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 History

1. 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 Taught

1. Department of Mathematics and Statistics, Thompson Rivers University
(a) DASC 5420: Theoretical Machine Learning (Summer 2021)
(b) MATH 1070: Mathematics for Business and Economics (Fall 2019, 2020, Winter 2020)
(c) STAT 2000: Introduction to Statistics (Fall 2019, 2020, Winter 2019, 2020, 2021)


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 Affiliations

1. Member, Statistical Society of Canada

2. Member, American Statistical Association

3. Life Member, Bangladesh Statistical Association

Timetable

Description Day Start End
Seminar STAT 2000 Monday 1:00 AM 2:20 AM
Office Hours STAT 2000 Tuesday 11:30 AM 12:30 PM
Lecture STAT 2000 Tuesday 9:30 AM 10:20 AM
Office Hours STAT 2000 Thursday 11:30 AM 12:30 PM
Lecture STAT 2000 Thursday 9:30 AM 10:20 AM
Lecture STAT 2000 Friday 9:30 AM 10:20 AM
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