Lenny Aharon Profile Picture

Lenny Aharon

Ph.D. Candidate in Statistics | AI Researcher | Former Professional Soccer Player

Contact Information
lenny.aharon@columbia.edu
+1 (212) XXX-XXXX
New York, NY
linkedin.com/in/lenny-aharon
Technical Skills

Research Areas

Computer Vision
Deep Learning
Multiview Pose Estimation
AI Methodologies
Statistical Analysis

Technical Skills

Python
R
Machine Learning
Signal Processing
Data Analysis

Specializations

Stochastic Processes
Functional Time Series
Behavioral Neuroscience
Health Data
Education

Ph.D. in Statistics

Columbia University

2023 - 2027

B.A. Mathematics, Statistics & Economics

Columbia University

2021 - 2023

Summa Cum Laude, Phi Beta Kappa, 4.05 GPA

B.S. Statistics & Economics

University of North Carolina at Chapel Hill

2019 - 2021

3.98 GPA, Dean's List

About Me

I'm a Ph.D. candidate in Statistics at Columbia University, where my research focuses on leveraging artificial intelligence to advance computer vision and deep learning, with an emphasis on multiview pose estimation. My work centers on developing innovative AI-driven methodologies to analyze complex datasets and uncover actionable insights. Prior to my academic journey, I had a multifaceted background, including serving in the military and a successful career as a professional soccer player. My passion lies in developing innovative methodologies to analyze large datasets, whether in signal processing, behavioral neuroscience or health data. I'm passionate about pushing the boundaries of AI to solve complex problems and create meaningful impact across disciplines.

Video Introduction
Get to know me better through this personal introduction video
Professional Experience

Human Frontier Collective Specialist - GenAI

Scale AI

May 2025 - Present
  • • Specializing in Generative AI applications and methodologies
  • • Contributing to cutting-edge AI research and development

Machine Learning Researcher

NaNose Medical

Jul 2024 - Present
  • • Developing ML algorithms for medical diagnostics
  • • Applying AI to healthcare data analysis

Graduate Teaching Assistant

Columbia University

Sep 2023 - Present
  • • Teaching statistics and data science courses
  • • Mentoring undergraduate students in research

Research Assistant

Department of Statistics, Columbia University

Jan 2023 - Sep 2023
  • • Developed theory and methodology for stochastic processes in function spaces
  • • Focused on functional time series with time-dependent characteristics

Professional Soccer Player

Israel U21 National Team & NCAA Division 1

2015 - 2021
  • • Represented Israel U-16, U-19, and U-21 National Teams
  • • Competed in tournaments across 15+ countries on 3 continents
  • • Full athletic scholarship at UNC Men's Soccer Team
  • • NCAA Division 1 athlete with exceptional academic performance

Investment Banking Summer Analyst

LionTree LLC

Feb 2022 - Aug 2022
  • • Gained experience in financial analysis and investment banking
  • • Worked on various financial modeling projects
Featured Projects

Multiview Pose Estimation Research

Ph.D. research focusing on AI-driven computer vision methodologies for complex pose estimation across multiple viewpoints.

Computer Vision
Deep Learning
AI Research

Stochastic Processes in Function Spaces

Developed innovative theory and methodology for functional time series with time-dependent characteristics.

Statistics
Stochastic Processes
Time Series

Medical AI Diagnostics

Machine learning research for medical diagnostics, applying AI to healthcare data analysis at NaNose Medical.

Machine Learning
Healthcare AI
Medical Diagnostics