About
Assistant Professor with research experience in CFD, blood flow simulation, ROM/ANN models, and parallel scientific computing.
As a highly skilled programmer with a PhD in Mathematics, I bring a unique combination of analytical and technical expertise to a project. With a deep understanding of mathematical principles and programming languages, I am able to create innovative solutions to complex problems. My programming skills are honed by years of experience working on diverse projects, and I am always eager to stay up-to-date with the latest tools and technologies. I thrive in collaborative environments and am committed to producing high-quality work that meets or exceeds expectations.
Education
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2022
Doctor of Philosophy (Ph.D.) Mathematics
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2015
Master of Philosophy (MPhil.) Mathematics
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2012
Bachelor of Science with Honors (BS(HONS.)) Mathematics
Experience
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Present
Assistant Professor
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2026
Assistant Lecturer
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2023
Post Doctoral Fellowship
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2023
Post Doctoral Fellowship
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2022
Post Doctoral Fellowship
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2019
Research Fellowship
View Visiting Faculty Roles
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2023
Assistant Professor
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2021
Lecturer
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2019
Lecturer
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2015
Lecturer
Skills
Projects
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Blood Flow Analysis using ROM and ANN
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Estimating Phenotype Transition Probabilities via Conditional Complexities
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Multi-Criteria Decision-Making Algorithms
Research
MPhil / PhD Supervisions
Books
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Essential Calculus: A Complete Introduction
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Tools for Quantitative Reasoning (2022)
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Exploring Quantitative Skills (2022)
Conferences
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Win with Mathematics (Webinar)
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Big Data and Cloud Computing, BIGC 2019
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International Conference on Applied Mathematics
Workshops
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Data Visualization: From Excel to Python
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New Trends in Mathematical Sciences (4th Summer School)
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New Trends in Mathematical Sciences (3rd Summer School)