ahmad younsoAY
Open to opportunities

ahmad younso

@ahmadyounso

Applied mathematician specializing in statistical modeling and AI training.

France

What I'm looking for

I am looking for opportunities that allow me to apply my mathematical expertise in AI development, fostering innovation and collaboration in a dynamic environment.

I am an applied mathematician with a PhD in Biostatistics from the University of Montpellier. My expertise lies in probability theory, mathematical analysis, and statistical modeling. I have a strong passion for enhancing AI's mathematical reasoning and am eager to contribute to the development of generative AI models. My teaching experience as a Mathematics Lecturer at ISDG has allowed me to design and deliver courses that make complex concepts accessible to students, improving their mathematical reasoning skills.

In my role as an Applied Mathematics Instructor at EPF School of Engineering, I have aligned course materials with AI-driven problem-solving techniques, integrating machine learning concepts into practical exercises. My work as a Research Engineer at INRAE involved developing mathematical and statistical models for biological and agri-food applications, leveraging data science and predictive analytics to solve real-world problems. I have also supervised research projects focused on mathematical optimization and AI applications during my tenure as an Assistant Professor at the University of Damascus.

Experience

Work history, roles, and key accomplishments

IS
Current

Mathematics Lecturer

ISDG

Jan 2021 - Present (4 years 4 months)

Designed and delivered applied and theoretical mathematics courses. Developed innovative teaching materials to make complex concepts accessible, improving students’ mathematical reasoning skills.

EE

Applied Mathematics Instructor

EPF School of Engineering

Jan 2023 - Dec 2024 (1 year 11 months)

Taught statistics, probability, and applied mathematics, aligning course materials with AI-driven problem-solving techniques. Created practical exercises integrating machine learning concepts, probability theory, and statistical analysis.

IU

Research Engineer

INRAE, MISTEA Unit

Jan 2021 - Dec 2023 (2 years 11 months)

Developed mathematical and statistical models for biological and agri-food applications, leveraging data science and predictive analytics. Applied advanced mathematical techniques to solve complex, real-world problems, contributing to AI-driven modeling techniques.

UD

Assistant Professor

University of Damascus

Jan 2007 - Dec 2021 (14 years 11 months)

Taught applied mathematics, probability, and algorithmic problem-solving to science and engineering students. Supervised research projects focused on mathematical optimization, statistical inference, and AI applications in data science.

Education

Degrees, certifications, and relevant coursework

U2

University of Montpellier 2

PhD, Biostatistics

Conducted advanced research in Biostatistics, focusing on the application of statistical methods to biological data. Developed expertise in statistical modeling and data analysis techniques relevant to the field.

U2

University of Montpellier 2

Master’s Degree (DEA), Biostatistics

Pursued advanced studies in Biostatistics, gaining in-depth knowledge of statistical theory and its applications. Focused on quantitative methods for biological and health sciences.

TU

Tishreen University

Postgraduate Diploma (DES), Mathematical Analysis

Completed a Postgraduate Diploma in Mathematical Analysis, deepening understanding of advanced mathematical concepts. Focused on rigorous analytical methods and problem-solving.

TU

Tishreen University

Bachelor’s Degree, Pure Mathematics

Completed foundational studies in Pure Mathematics, covering core principles and theories of the discipline. Developed a strong understanding of mathematical reasoning and abstract concepts.

Tech stack

Software and tools used professionally

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