Summary
Overview
Work History
Education
Skills
Publications and Projects
Hobbies and Interests
Timeline
Generic

Mark Bechthold

San Francisco,California

Summary

Results-driven analyst with a broad array of experiences collaborating with teams across industry domains from structural biology research, to web application development and investment banking, attaining optimal results. Adept at conducting research, solving new problems by applying skills and past experience, and communicating findings to various audiences effectively.

Overview

5
5
years of professional experience

Work History

Analyst

DBO Partners - Piper Sandler
06.2021 - Current
  • Advised venture and growth equity firm on $60MM capital raise, enabling client to maintain their stake in existing investments and to protect their upside on future investments
  • Conducted diligence and transaction structure analysis on $50MM corporate development acquisition, coordinating with C-Suite executives to assess synergies and operational fit
  • Modeled annual recurring revenue (ARR) waterfall for client, validating projected $13 million USD in ARR for end of year, which resulted in 6 offers and signed LOI for $100 million USD

Lead Consultant- Engineers for a Sustainable World

Zorzal Cacao
11.2019 - 07.2021
  • Identified supply-chain weaknesses and established user requirements, risk strategies, technical and budgetary constraints, remaining true to CEO's goals of sustainability and conservation
  • Developed and deployed web application using React, HTML, CSS, and Google Firebase to track company products through each stage of supply-chain from source to consumers in real-time, allowing users to collect hundreds of data points in real-time
  • Managed team of four to maximize project efficiency by dividing work according to strengths and created comprehensive documentation of project for future users and team members

Researcher

Stanford Undergraduate Research
03.2020 - 01.2021
  • Coordinated with Oak Ridge National Laboratory, SLAC, Chapman Laboratory, and Stanford structural biology department to gather all input and develop QM molecular dynamic models of key protein structures of SARS-CoV-2, resulting in publishing of Structural and functional characterization of NEMO cleavage by SARS-CoV-2 3CLpro in Nature Communication
  • Engineered attention-based machine learning model for protein sequence prediction to identify structural protein features, leveraging machine learning advances in natural language processing

Learning Assistant

Stanford Physics Department
01.2020 - 03.2020
  • Taught mechanics to weekly section of 12 students, working through core topics and problems and mentored each student with one-on-one sessions to ensure success in class

Project Assistant

Payne and Dolan
06.2019 - 09.2019
  • Analyzed construction specifications, implemented strategy for site build out and construction requirements, and participated in effectuation of project blueprints
  • Assisted project managers in achieving timely completion of projects through diligent monitoring and tracking of deadlines.

Education

Master of Science in Computer Science -

Stanford University
Stanford, CA
06.2023

Bachelor of Science in Physics -

Stanford University
Stanford, CA
06.2022

Skills

  • C/C
  • Python
  • Pytorch
  • Excel
  • Java
  • React
  • Quantum Mechanics
  • Statistical Mechanics
  • Lagrangian Mechanics
  • Convex Optimization
  • Machine Learning
  • French

Publications and Projects

  • Co-author of Structural and functional characterization of NEMO cleavage by SARS-CoV-2 3CLpro published in Nature Communications, working on the modeling of molecular dynamic simulations
  • Stanford CS229 (Machine Learning) best project recipient for Light It Up - developed a recurrent neural network to adaptively predict how audio features of songs evolve based on previous audio features, mapping predicted audio features to RGB lights to produce an adaptive light show
  • Stanford CS224U (Natural Language Understanding) Semantic Content of Operators Affects LLM Mathematical Reasoning - evaluated how LLMs perform when tasked with mathematical reasoning problems that have had their mathematical operators changed to different symbols or words

Hobbies and Interests

  • Waterskiing
  • Post-Modern Literature
  • World History
  • Milwaukee Bucks
  • Latin / Junior Classical League

Timeline

Analyst

DBO Partners - Piper Sandler
06.2021 - Current

Researcher

Stanford Undergraduate Research
03.2020 - 01.2021

Learning Assistant

Stanford Physics Department
01.2020 - 03.2020

Lead Consultant- Engineers for a Sustainable World

Zorzal Cacao
11.2019 - 07.2021

Project Assistant

Payne and Dolan
06.2019 - 09.2019

Master of Science in Computer Science -

Stanford University

Bachelor of Science in Physics -

Stanford University
Mark Bechthold