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About Me: Benjamin Mencer

Curious scientist interested in high-speed computing at the edge to better understand complex natural systems. 

Work Experience

June 2024 - 

Stanford SLAC

Machine Learning for Tokamak Plasma Stability Forecasting Intern        

​

  • Training + Evaluating Models efficiently on distributed HPC Clusters

  • Improving upon existing mathematical models to analyze Fusion Energy datasets

  • Implementing machine learning (NLP) algorithms to predict time series data in Python

Jan 2023 - Jan 2024

UCSC Radiological Instrumentation Laboratory (RIL)

Undergraduate Researcher

  • Help Construct a Dual Panel Positron Emission Tomography (PET) System

  • Finetuning of 3D electron absorption in CZT detectors for the PET system

  • Help develop a data streaming and analysis pipeline over a distrubuted system

June 2022 - April 2023

Reality Defender

Software Engineering Intern                                                                                

  • Wrote Backend APIs and frontend features

  • Developed scripts to automate business operations tasks

  • Designed and implemented a sampling algorithm to improve Deepfake detection on large datasets

April 2018

Imperial College London, Physics Department, Mass Spectroscopy Group

Student Intern                                                                                

  • Analyzed results of measurements using statistical methods

Conference Experience / Talks

Click For Poster

Feb 2025

Poster

  • Title: “Vision Transformer Technology for Predicting Plasma States of DIII-D Tokamak Magnetic Fusion Energy Reactions”

MFE_2_FINAL_3.png

Jan 2025

Organizing Committee (Future Board)

  • Moderating Day Schedule

  • Moderating Panel Discussions on Technology and Society

Oct 2023

April 2023

Invited Speaker

  • Title: "The Power Behind Deepfakes"

Jan 2023

Invited Speaker

Jan 2023

Oct 2022

Education

2021 - 2025

University of California, Santa Cruz

Computer Science B.Sc.

  • Dean's Honor x 8

  • Dean's Scholarship 

Call 

123-456-7890 

Email 

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