Saba Moeinizade, Ph.D. Email & Phone Number

Hopewell Township, Nj, Us

- Leading the implementation of advanced GenAI technologies from concept to production, streamlining the transformation of complex internal and external datasets into actionable insights across multiple therapeutic areas.- Execute strategic ad-hoc data analyses and internal AI experiments, paving the way for new innovations and operational efficiency for Scientific and Medical Affairs.- Manage trainings to maximize the adoption and proficiency in AI tool usage.

New Brunswick, New Jersey, Us

- Implemented technical solutions for advanced analytic projects across DPS and Ethicon franchises to drive J&J MedTech digital transformation collaborating closely with business stakeholders, product managers, customer solution teams, etc.- Developed ML production models to optimize case preparation in orthopedic procedures by predicting implant sizes using EHR data yielding 63% reduction in both required trays and sterilization costs, and over 10,000 hours of saving for sales consultants with estimated value of over $10M in sales revenue- Utilized video data from laparoscopic procedures to analyze surgeon's instrument movements and Identified relevant metrics and developed a machine learning model for surgical skill assessment demonstrating results by building an R Shiny App

Ames, Iowa, Us

Development and Evaluation of Improved Strategies for Genomic Selection via Simulations funded by USDA:- Used operations research approaches to tackle a specific problem in plant breeding by designing genomic selection [special type of nonlinear, non-convex, high-dimensional, and dynamic optimization problem constrained by resource availability and laws of reproductive biology] algorithms that led to increase in genetic gain and diversity.- Served as the first author of 6 technical manuscripts in peer-reviewed journals, 2 proceeding papers, and wrote over 8 abstracts for international conferences- Mentored an undergraduate research assistant

Ames, Iowa, Us

Production Systems (IE341) Applied Ergonomic and Work Design (IE271)

Basel, Basel, Ch

- Developed a deep learning model (CNN-LSTM) to predict soybean maturity date using time-series of drone images reducing MAE by 50% compared to local regression

Basel, Basel, Ch

- Formulated the trait introgression process in plant breeding as a mathematical optimization problem and developed a Monte Carlo simulation model which improved probability of success by 30%

Des Moines, Iowa, Us

- Developed an automated process to screen financial news data to help investment decisions using Python (Matplotlib, Plotly, Pandas, and Scikit-Learn), SQL (Snowflake), AWS, Git, and Sphinx, defined different metrics for testing correlations, sparsity and periodicity at both market and company levels and demonstrated test results in a Power BI live dashboard- Worked collaboratively in a team on developing a stochastic optimization model to select a subset of stocks from a benchmark portfolio while tracking it, implemented the solution in R and Julia and finally presented outcomes to stakeholders at Principal

Doctor Of Philosophy - Phd, Major: Operations Research- Minor: Statistics

Master'S Degree, Operations Research

Bachelor'S Degree, Industrial Engineering