Simon Berman Email & Phone Number

Los Angeles, Ca, Us

Falls Church, Va, Us

• Advanced the modeling and simulation capability for next-gen Coriolis Vibratory Gyroscopes (CVGs), significantly elevating the performance of hemispherical resonator gyros and MEMS quad mass gyros.• Consistently delivered impactful technical presentations and strategic guidance to cross-functional teams, cultivating strong relationships with key internal and external stakeholders.• Spearheaded a pioneering digital compensation technique that improved CVG performance by 50%, culminating in an official IP disclosure process.• Authored a grant proposal for Machine Learning-enhanced sensor error compensation, securing a $500K award from a new customer.• Achieved an unprecedented 70X increase in simulation efficiency, accelerating high-fidelity MATLAB/Simulink computations through the deployment of an advanced, Linux-based high-performance computing cluster.• Planned and conducted comprehensive environmental test campaigns (thermal and vibration) for prototype gyroscopes and IMUs, integrating systems, gathering robust data (LabView), and performing data analysis (MATLAB), informing and refining future design iterations.• Methodically performed over 150 lab and field tests for Integrated Navigation System (INS) units with enhanced GPS capabilities, meeting strict deadlines, aiding in program success, and earning accolades from program leadership.• Fostered synergetic problem-solving within cross-disciplinary engineering teams, tackling hardware, software, and testing challenges head-on to ensure seamless progress and timeliness of critical projects.

Atlanta, Georgia, Us

- Built a time-series forecast model in Python (Prophet) to predict future supplier lead times using a vast data set (6M data points), providing contextual forecasts 20% more accurate than the previous model.- Used machine learning algorithms (scikit-learn) to select most salient features for lead time prediction.- Identified and corrected flaws in SQL queries in production data processing pipelines, resulting in an additional $3M in inventory reduction opportunities across 10 customers.- Worked cross-functionally with product and customer success managers to identify and correct data quality issues, leading to $1M in supply chain network optimization opportunities for 5 customers.- Automated model testing workflows by creating custom Python classes, and worked with the engineering team to deploy them on the AWS cloud (S3, EC2, Airflow), reducing manual testing by 10 hours/week.- Promoted the value of data science initiatives to stakeholders using presentations, data, and visualizations.- Delivered functionality as part of an Agile development team (Git, Jira, CI/CD, code review).

Merced, California, Us

- Provided guidance on experimental design to a team carrying out experiments on swimming bacteria.- Created time series and statistical models to interpret the experimental data, and implemented efficient algorithms in Matlab to run Monte Carlo simulations and predict the outcomes of future experiments.- Mentored 2 undergraduate students in Python, Matlab, and data analysis and supervised their research, leading to 1 publication and 2 conference presentations.- Designed visualizations in Matlab (graphs, animations) to convey technical results to broad audiences.- Presented results at 9 national conferences, 3 of which were attended by over 3,000 scientists.- Skillfully led a team of 5 in writing and publishing 4 peer-reviewed papers in high-impact journals.

Atlanta, Georgia , Us

- Created a new, interpretable model for the interaction of strong laser fields with atomic gases, leading to the discovery of a technique to increase the efficiency of frequency conversion by light-gas interaction.- Optimized physics simulations to run 6X faster (Matlab, C, OpenMP) on scalable computing resources.- Analyzed datasets consisting of over 1,000 time series with 10K points each using data visualizations custom-made in Matlab, including color-coded heatmaps and animations.- Traveled to Marseille, France multiple times (16 months total) to work with collaborators.- Published 8 peer-reviewed papers with a team of 5 international collaborators in high-impact journals.

Los Angeles, Ca, Us

• Studied human speech production using signal and image processing of a large dataset consisting of real-time MRI videos with synchronized audio.• Ruled out causal links between variability in individual palate shape and speech production patterns using regression-based modeling.

Berkeley, Ca, Us

• Implemented Monte Carlo algorithms in C++ for a software package that predicts the results of LHC experiments.• Successfully demonstrated the accuracy of the algorithms by designing and implementing unit tests.

Doctor Of Philosophy - Phd, Physics

Doctor Of Philosophy - Phd, Theoretical Physics

Bachelor Of Science - Bs, Physics/Computer Science