NATHANIEL JAMES LINDEN-SANTANGELI

natejlinden at gmail dot com | natelinden.com | linkedin.com/in/nate-linden

EDUCATION

PhD Engineering Sciences with a Specialization in Multiscale Biology

University of California San Diego | June 2025

MS Mechanical and Aerospace Engineering

University of California San Diego | 2022 | GPA 3.73/4.0

B.S. Bioengineering, minor in Applied Mathematics

University of Washington (Seattle, WA) | 2020 | GPA 3.75/4.0

  • Graduated with departmental Honors
  • Undergraduate research thesis:

EXPERIENCE

Pre-sales Data Scientist

FICO | July 2025 – Present | San Diego, CA

Systems Biology Researcher

UC San Diego | Sep. 2020 – June 2025 | San Diego, CA

  • Developed a machine learning workflow to calibrate systems biology models to wet-lab data to predict intracellular signaling phenomena with quantified uncertainty. Enabled calibration for dozens of new models with applications in cancer and metabolism.
  • Quantitatively evaluated models and algorithms using Bayesian model selection and multimodel inference in Python, Jax, and PyMC to identify the best models and infer biological mechanisms.
  • Designed and conducted computational experiments to benchmark models and demonstrate the benefits of developed methods to non-technical stakeholders.
  • Trains models on distributed HPC systems to accelerate model training and prototyping by 10–20x.
  • Leads technical research projects on cross-functional teams with both technical and nontechnical stakeholders to strategically develop data-driven solutions.
  • Analyzed biological data using mathematical models, Bayesian statistics, and machine learning.

Quantitative Systems Pharmacology Intern

Johnson and Johnson Innovative Medicine | May 2024 – Aug 2024 | Spring House, PA

  • Developed machine learning-based approaches to discover biomarkers and risk factors of adverse events during treatment administration.
  • Discovered novel predictors of rare adverse events using feature selection methods to inform adverse event prediction during clinical studies.
  • Developed logistic regression and machine learning (decision tree and neural network) models to predict risk as a function of discovered features to optimize drug dosing.

Computational Neuroscience & Protein Engineering Researcher

University of Washington | Jan 2017 – Sep 2020 | Seattle, WA

  • Led an independent project to analyze spatiotemporal patterns in wide-field calcium imaging data using a novel image analysis method (published in Journal of the Royal Society Interface).
  • Optimized fluorescent biosensor sensitivity and performance by conducting proof-of-concept studies and analyzing fluorescent microscopy data.
  • Performed laboratory experiments to engineer genetically encoded biosensors and develop a high-throughput protein engineering pipeline.

Research and Development Intern

Gauss Surgical Inc. (Now a part of Medtronic) | 2016, 2017 | CA

  • Worked as a member of the R&D team to optimize the performance of an FDA-approved medical device.
  • Research efforts directly expanded the number of customers successfully using the device.

PUBLICATIONS

CONFERENCE PRESENTATIONS

  • Mar 2025: Talk: “Bayesian Multimodel Inference to Account for Model Uncertainty in Systems Biology.” \(\cdot\) SIAM Computational Science and Engineering (Fort Worth, TX)
  • Sep 2024: Talk: “Bayesian mull model inference to account for model uncertainty and increase predictive uncertainty in systems biology.” \(\cdot\) International data assimilation summer school (Boltenhagen, Germany)
  • Feb 2024: Talk: “Multimodel inference to account for model uncertainty in systems biology.” \(\cdot\) SIAM Uncertainty Quantification 2024 (Trieste, Italy)
  • July 2023: Talk: “Multimodel modeling for blood glucose and insulin measurements in diabetes” \(\cdot\) Society for Mathematical Biology Annual Meeting (Columbus, OH)
  • Apr 2023: Talk: “Multimodel modeling: Accounting for model uncertainty in biology with multiple models” \(\cdot\) Southern California Applied Mathematics Symposium 2023 (Irvine, CA)
  • Sept 2022: Talk: “A Framework for Bayesian Parameter Estimation and Uncertainty Quantification in Systems Biology.” \(\cdot\) SIAM Mathematics of Data Science 2022 (San Diego, CA)
  • Mar 2022: Talk: UCSD Interfaces Research Symposium \(\cdot\) Awarded best student presentation.

WORKSHOPS AND PROFESSIONAL DEVELOPMENT

  • 2023: UCSD Rady School of Business Micro MBA (San Diego, CA)
  • 2023: Uncertainty Quantification Summer School (Los Angeles, CA)
  • 2023: UCSD Responsible Conduct of Research (quarter-long course on research ethics)

VOLUNTEER AND OUTREACH ACTIVITIES

  • 2023-2024: Tutor, The Preuss School UC San Diego \(\cdot\) Volunteer tutor in \(7^{th}\) grade mathematics and science classrooms.
  • 2022-2024: Chair, UCSD MAE Peer-2-Peer Committee \(\cdot\) Represented students at the departmental level and improved peer mentoring.
  • 2023-2024: Graduate Student Representative \(\cdot\) UCSD Faculty Senate Committee on Budget and Planning & Graduate and Professional Students Association.
  • 2021: Judge, Greater San Diego Science and Engineering Fair
  • 2019-2020: Vice President of Professional Development / Outreach Educator \(\cdot\) Biomedical Engineering Society, UW Student Chapter.

PROFESSIONAL SOCIETIES

  • Society for Mathematical Biology (Student Member; 2023-2025)
  • Society for Industrial and Applied Mathematics (Student Member; 2020-2025)
  • Biophysical Society (Student Member; 2023-2024)

TEACHING EXPERIENCE

  • 2024 Fall: UCSD MAE 208, Mathematics for Engineering \(\cdot\) Teaching Assistant
  • 2022 Spring: UCSD BENG 276, Numerical Analysis for Multi-Scale Biology \(\cdot\) Guest Lecturer on VCell
  • 2019 Fall: UW BIOEN 325, Biotransport I \(\cdot\) Teaching Assistant
  • 2018 Winter: UW BIOEN 217, Matlab Fundamentals \(\cdot\) Teaching Assistant

AWARDS AND HONORS

  • 2021-2023: NIH Ruth Kirschstein National Service T32 Awardee (Training in Multi-scale Analysis of Biological Structure and Function)
  • 2020-2024: UCSD Alfred P. Sloan Foundation Minority PhD Program Scholar
  • 2022: SIAM Student Travel Award (SIAM MDS 2022)
  • 2022: SIAM/NSF Student Travel Award (SIAM UQ 2022)
  • 2022: Best Student Presentation Award (UCSD Interfaces Research Symposium)
  • 2019: Washington Research Foundation Innovation Undergraduate Fellow in Neuroengineering
  • 2016-2020: UW Dean’s List Scholar (4x)