Biography
I am a 4th year Ph.D. candidate in the Department of Mathematics and Statistics at Old Dominion University, where I also earned an M.S. in Data Science. I have started my Ph.D. from Fall 2022. I did complete my undergraduate in Mathematics and with a sheer determination, I choose to study in Computational and Applied mathematics at ODU. My research focuses on data science, machine learning, optimization, statistical modeling, and computational mathematics. Under the supervision of Dr. Michael Pokojovy, my career is shaping up as an academician and researcher. In addition to my doctoral research, I collaborate on different projects to get hands on experiences on big data. I am currently serving as a Graduate Teaching Assistant and Vice President of the Mathematics & Statistics Club at ODU, where he contributes to academic and community initiatives. Through a collaborative team work, My aim to apply my quantitative and programming expertise to real-world problems, gain industry experience, and strengthen my career in data-driven research and applied field.
Academic Information
Status: PhD Student
Year in Program: 4th
Major/Specialty: I am interested in the field like Machine Learning, Optimization Techniques, Statistical Modeling. Now I am focused on these as my PhD research is aligned.
Degrees: I Received M.S. in data science degree from the Old Dominion University in May, 2024.
Research Areas
Applied Mathematics; Data Science; Machine Learning/AI; Mathematics
Research Interests
My research and academic interests lie at the intersection of data science, machine learning, optimization, and statistical modeling, with applications in computational and applied mathematics. As a Ph.D. candidate in the Department of Mathematics and Statistics at Old Dominion University, I focus on developing and analyzing robust statistical algorithms and data-driven methods for complex research problems. I am particularly passionate about high-dimensional data analysis, model optimization, and uncertainty quantification, and I seek to apply these tools to solve real-world problems in data-driven decision-making like implementing ML model.
Topical Areas
Applied Computer Science; Applied Mathematics; Clinical Medicine; Informatics, Analytics and Information Science; Statistics and Probability
Relevant Coursework
I did courses titled on Large Scale Optimization, Genomic Data Science, Modern Statistical Methods for Big Data Analytics, Advanced Applied Numerical Methods (I & II), A project on Computational Data Analytics, and courses on programming languages like Python, MATLAB, FORTRAN.