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Mathematician | Lecturer | Former Assistant Professor, University of Oregon
PhD in Mathematics and a current Postdoctoral Researcher in machine learning at the Volcani Institute of Agricultural Research. My work applies deep learning (ConvLSTM), Gaussian Processes, and spatio-temporal data analysis to tackle environmental and climate challenges. Alongside my research, I teach machine learning, databases, algorithms, and software engineering as a Lecturer at the Holon Institute of Technology, and I previously served as an Assistant Professor at the University of Oregon. Skilled in Python, PyTorch, SQL, and statistical modeling, I specialize in transforming complex datasets into scalable, real-world solutions. I am now seeking opportunities in data science and applied research where I can leverage my academic foundation and applied machine learning expertise to drive innovation and measurable impact.
University of Oregon
Assistant proffesor, Harmonic Analysis
January 1, 2013 – January 1, 2014
Tel Aviv University
Doctor of Philosophy - PhD, Mathematics
January 1, 2010 – January 1, 2012
Tel Aviv University
Master's degree, Mathematics
January 1, 2006 – January 1, 2009
The Open University of Israel
B.A, Mathematics
January 1, 2005 – January 1, 2007
Volcani Institute
Postdoctoral Researcher
March 1, 2025 – Present
Holon Institute of Technology
Lecturer
January 1, 2023 – Present
Holon, Tel Aviv District, Israel
Michlalah Jerusalem College
Lecturer
January 1, 2020 – January 1, 2023
Jerusalem · Hybrid
Katros
Data scientist | Algorithm-Developer
January 1, 2018 – January 1, 2020
University of Oregon
Lecturer & Assistant Professor
January 1, 2012 – January 1, 2014
Tel Aviv University
Lecturer
January 1, 2010 – January 1, 2012
Technion - Israel Institute of Technology
Mathematics Instructor
January 1, 2009 – January 1, 2010
Tel Aviv University
Mathematics Instructor
January 1, 2006 – January 1, 2009
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with some industry experience in data science/algorithm development. While the teaching roles demonstrate a capacity for knowledge transfer and collaboration, the project diversity is limited to academic research and quantitative trading. The target role of 'Backend Engineer' requires a strong focus on software development lifecycle, system architecture, and operational aspects, which are not prominently featured in the provided experience. The candidate's profile leans more towards a Data Scientist or Machine Learning Engineer role.
Soft Skills & Operational Fit
The candidate's extensive lecturing experience suggests strong communication and presentation skills. Their research background implies problem-solving, analytical thinking, and independent work capabilities. The transition from pure mathematics to applied data science and engineering indicates adaptability and a continuous learning mindset. However, direct experience in a typical backend engineering operational environment (e.g., large-scale distributed systems, microservices, cloud infrastructure) is not explicitly detailed.