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Dr Cox Lwaka Tamba

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Staff Information
PERSONAL DETAILS
Designation
Lecturer
Corporate Email
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Job Category
Teaching
Division / Faculty
Faculty of Science
Directorate / Dept
DEPT. OF MATHEMATICS
Section
NJORO
SUMMARY

Cox Lwaka Tamba is a trained Statistician. He has a PhD in Bioinformatics from Nanjing Agricultural University. He specializes in statistics and mathematics. He is proactive and flexible, passionate about teamwork and liaising with people of diverse roles, disciplines, and cultures to achieve a common goal.  He is currently a lecturer in the field of statistics and actuarial science. His research areas include statistics of big data, statistical learning, machine learning,  impact evaluation and analysis of developmental interventions, data analytics, statistical software programming, and policy formulation. He is experienced in data collection and analysis using statistical software, including R, Stata, SPSS, and Microsoft Excel. He has been involved in the development of mrMLM package and CondMVT package in R statistical software. He has been trained in analyzing qualitative and quantitative data using various statistical software. He has over seven years of experience in research, teaching, performing multiple monitoring and evaluation tasks and responsibilities. 

ORCID
https://orcid.org/0000-0002-0280-9036
ACADEMIC QUALIFICATIONS

2014-2017: Ph.D. (BioInformatics), Nanjing Agricultural University, China

2012-2013: Post-Graduate Diploma (Actuarial Science), University of Nairobi, Kenya. Distinction

2009-2012: MSc. (Statistics), Egerton University, Kenya.                        

2005-2008: Bachelor of Education (Science; Double Mathematics), Egerton University, Kenya. First Class Honors

1999-2002: Secondary School Education, Inaya Secondary School, Kenya. Mean Grade, B+

1990-1998: Primary School Education, Shiraha Primary School, Kenya. Mean Grade, 60 points

FIELDS OF SPECIALIZATION
  • Statistics,
  • Actuarial Science,
  • Bioinformatics
PROFESSIONAL QUALIFICATIONS
  • Sept 2015: ISO 9001:2008 Auditor
  • Sept 2018: Certificate in Foundations in Bioethics
  • Jan 2014: Demographic and Health Survey Data (DHS) analysis
  • May 2009: Attended Strathmore Educational Trust, Nairobi for Computer packages training
  • April 2008: Attended First Aid training at Egerton University   

Computer Programming Languages

  • R Language
  • SPSS
  • STATA
  • Matlab
WORK EXPERIENCE

April 2018 – Present: Lecturer of Statistics and Actuarial Science, Department of Mathematics, Egerton University, Kenya

Responsibilities

  • Teaching statistics, actuarial science and general mathematics courses to both undergraduate and postgraduate students
  • Performing any other duties assigned to me by Vice Chancellor or his/her representatives

Aug 2011 – April 2018:  Assistant Lecturer, Egerton University, Kenya

Responsibilities

  • Teaching undergraduate students
  • Performing any other duties assigned to me by Vice Chancellor or his/her representatives

Jan, 2014: Demographic and Health Survey Data (DHS) analysis

  • Training participants on basic statistics and SPSS statistical software

Aug 2008 – Aug 2009:  Development Finance Officer, Faulu Kenya Ltd, Kenya

Responsibilities

  • Training clients on the company policies and business issues
  • Assessing clients to ensure they are loan worth
  • Loaning clients and ensuring good repayment

Nov. 2007:  Domestic election observer, NCCK

Responsibilities

  • Observing election process to ensure transparency and credibility

May 2007-Sept 2007: Teacher at Upper Hill Sec School, Nakuru, Kenya

Responsibilities

  • In partial fulfillment of Bachelor of education degree award requirements, I taught Mathematics and Chemistry
  • Organizing Christian Union organization
  • Organizing guidance and counseling sessions
RESEARCH INTERESTS
  • Statistics of Big Data
  • Big data analysis
  • Statistical Learning
  • Machine Learning
  • Statistics for Clinical Trials
  • Missing Data Problem
  • Zero Inflated Models
LIST OF PUBLICATIONS
  1. Otieno, F.A., Tamba, C.L., Okenye, J.O. and Orawo, L.A. (2023) Dynamic Spatio-Temporal Modeling in Disease Mapping. Open Journal of Statistics, 13, 893-916. doi.org/10.4236/ojs.2023.136045.
  2. Akomboh, J., Waliaula, W. R., Tamba, C. and Okenye, J. O. (2023). Analysis of a Two-Stage Adaptive Negative Binomial Group Testing Model for Estimating Prevalence of a Rare Trait. Open Access Library Journal, 10, e960. doi: http://dx.doi.org/10.4236/oalib.1110960.
  3. Paul Kimani Kinyanjui, Cox Lwaka Tamba*, Justine Obwoge Okenye (2021). Missing Data Imputation in a t -Distribution with Known Degrees of Freedom Via Expectation Maximization Algorithm and Its Stochastic Variants. International Journal of Applied Mathematics and Statistics, 60 (2), 70-81. http://www.ceser.in/ceserp/index.php/ijamas/article/view/6726/0.
  4. Raphael Masila Mweleli, Luke Akong’o Orawo, Cox Lwaka Tamba, Justin Obwoge Okenye (2020). Interval Estimation in a Two Parameter Weibull Distribution Based on Type-2 Censored Data. Open Journal of Statistics, 10(6), 1039-1056. DOI: 4236/ojs.2020.106059
  5. Ya-Wen Zhang, Cox Lwaka Tamba, Yang-Jun Wen, Pei Li, Wen-Long Ren, Yuan-Li Ni, Jun Gao, Yuan-Ming Zhang. mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies (2020). Genomics, Proteomics & Bioinformatics, 18(4), 481-487, ISSN 1672-0229. DOI: 1016/j.gpb.2020.06.006
  6. Koskey, J. C., Ogendi, G. M., M' Erimba, C. M., & Tamba, C. L. (2020). Influence of particle size and total organic carbon on heavy metal concentrations in sediments of Lake Baringo, Kenya. African Journal of Environmental Science and Technology, 14(12), 394-399.
  7. Kinyanjui Paul Kimani, Tamba Cox Lwaka*, Orawo Luke Akong’o, Okenye Justin Obwoge. Missing Data Imputation in Multivariate t Distribution with Unknown Degrees of Freedom Using Expectation Maximization Algorithm and Its Stochastic Variants’. Model Assisted Statistics and Applications, vol. 15, no. 3, pp. 263-272, 2020, DOI: 3233/MAS-200493.
  8. Tamba CL, Ni YL, Zhang YM. Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies. PLoS Comput. Biol., 2017, 13(1): e1005357
  9. Tamba CL, Zhang YM. A fast mrMLM algorithm for multi-locus genome-wide association studies. PLoS Genetics 2019, Submitted. doi:https://doi.org/10.1101/341784
  10. Zhang J, Feng JY, Ni YL, Wen YJ, Niu Y, Tamba CL,  Yue C,  Song Q and Zhang YM. Integration of least angle regression with empirical Bayes for multi-locus genome-wide association studies. Heredity, 2017: 1–8
  11. Tamba CL, Cheruiyot DS, Nandelenga MW. Distribution of Nairobi Stock Exchange 20 Share Index Returns 1998-2011. International Journal of Scientific and Statistical Computing (IJSSC), 2014, 5 (1): 47-54
  12. Tamba CL, Nandelenga MW. Computation of Moments in Group Testing with Re-testing and with Errors in Inspection. International Journal of Contemporary Advanced Mathematics (IJCM), 2014, 3(1) : 2014
  13. Tamba CL, Mwangi JW. Computational Pool-Testing with Retesting Strategy. International Journal of Scientific and Statistical Computing (IJSSC), 2012, 3(2): 47-54.
  14. Tamba CL, Nyongesa KL, Mwangi JW. Computational Pool-Testing Strategy. Egerton University Journal of Science and Technology, 2011:11, 51-65. http://journal.egerton.ac.ke/index.php/ejt/article/view/97

R Package Developed

  1. mrMLM package: Multi-Locus Random-SNP-Effect Mixed Linear Model for Genome-Wide Association Studies and Linkage Analyses. https://doi.org/10.1016/j.gpb.2020.06.006
  2. CondMVT package: Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants. source 1.0.tar.gz
CONFERENCES & INVITED PRESENTATIONS

Mar 2011: Egerton University International Conference

Presentation

  • Tamba CL, Mwangi JW. Computational Pool-Testing Strategy

Oct 2016: Nanjing Agricultural University International Conference, Graduate Students     

Presentation

  • Tamba CL. Iterative sure independence screening EM Bayesian LASSO algorithm for multi-locus genome-wide association studies.

 

Fellowship Attended

Feb.2020-Sept.2020: International Fellows Program-WCG IRB, Puyallup, Washington State, USA- WIRB.com

Objective: The WCG IRB International Fellows Program is aimed at   training the next generation of global research leaders and strengthening research protections, ethics and practices around the world.

TEACHING AREAS
  • Linear Models
  • Multivariate Data Analysis
  • Probability and Statistics
  • Computational Statistics
  • Time series analysis
  • Stochastics processes
  • Actuarial Mathematics
  • Stochastic Financial Modelling
  • Computational Finance
  • Financial Management
  • Asset and Investment Management
POSTGRADUATE SUPERVISION
MASTERS LEVEL :
  1. Paul Kimani Kinyanjui, Reg No. SM123/12118/17. Graduated Dec. 2021

Thesis Title: Imputation of Missing Values in Multivariate T-Distribution using Expectation Maximization Algorithm and its Stochastic Variant Methods

  1. Flavian Awere Otieno, Reg No. SM123/14504/18, Completed, awaiting Graduation

Thesis Title: Bayesian Spatio-temporal Modelling of meningitis epidemiology in Kenya

  1. Mweleli Raphael Masila, Reg No. SM123/12128/17, Completed, awaiting Graduation

Thesis Title: Interval estimation in a two parameter Weibull distribution based on type-2 censored data

  1. Jackline Akomboh Reg. No. SM123/13516/19, Completed, awaiting Graduation

Thesis Title: A two-stage adaptive negative binomial group testing model for Estimating prevalence of a rare trait

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