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Juan Pablo D. Email & Phone Number

Postdoctoral Research Fellow at Stanford University
Location: Stanford, California, United States 10 work roles 3 schools
1 work email found @stanford.edu LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Current company
Role
Postdoctoral Research Fellow
Location
Stanford, California, United States

Who is Juan Pablo D.? Overview

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Juan Pablo D. is listed as Postdoctoral Research Fellow at Stanford University, based in Stanford, California, United States. AeroLeads shows a work email signal at stanford.edu and a matched LinkedIn profile for Juan Pablo D..

Juan Pablo D. previously worked as Research Scientist at Anspanner and Data Scientist at Lotus Ai. Juan Pablo D. holds Doctor Of Philosophy (Phd), Geophysics from Stanford University.

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*@stanford.edu
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About Juan Pablo D.

Juan Pablo D. is a Postdoctoral Research Fellow at Stanford University. He possess expertise in c++, unix, matlab, python, comsol and 6 more skills.

Listed skills include C++, Unix, Matlab, Python, and 7 others.

Current workplace

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Stanford University
Stanford University
Postdoctoral Research Fellow
Stanford, CA, US
AeroLeads page
10 roles

Juan Pablo D. work experience

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Postdoctoral Research Fellow

Current

Stanford, CA, US

Develop data-driven approaches for 3D geological structure modeling using comprehensive data for country-scale smart mapping. Transform traditional 2D geological maps into complex 3D structures by harnessing state-of-the-art data science and machine learning techniques at large scales. Collaborate closely with both academic and industrial research partners.

Jul 2024 - Present

Research Scientist

Current
Anspanner

I provide essential algorithms for hydrogen storage inside porous Titanium alloys, forecast manufacturing operations, and accelerate development.

Jan 2024 - Present

Data Scientist

Lotus Ai

Develop a wellness AI engine. Gather, clean and prepare a database to train an LLM solution for a production environment.

May 2024 - Aug 2024

Applied Data Scientist

Palo Alto, CA, US

  • Researched and developed in house ML models in a collaborative production environment.
  • Algorithmic Trading Platform: Achieved and forecast 2x market beating returns for firm with $100 Billion in assets. Implemented ML algorithms on time series, with analysis and performancetuning in AWS. Collaborated and.
  • ML-powered OCR Semantic Engine: Provided essential business information for corporate planning and operational forecasting. Used and extended ML models to automatically process 100,000+ pages of scanned reinsurance.
  • Life Insurance Underwriting Automation: Achieved a 5x increase in automated decision at Point of Sale. Implemented a multi-class Python algorithm that classified users on insurance policies.
Apr 2021 - Dec 2023

Ph.D. Researcher

Stanford, CA, US

  • Created a new fundamental theory and automatic technique for the assessment and dynamic transformation of materials enabling a richer use of 2D and 3D images for physical simulation.
  • Designed computational experiments involving fluid flow, elastic theory and electrical conductivity, for calculating properties of imaged materials.
  • I implemented the theory in C++, FORTRAN, and Matlab using High-Performance Parallel Computing and a database of 2D and 3D images of materials matching experimental measurements.
  • Realistic and concise computer graphics visualizations of results of hundreds of GB of data, one of them featured on the cover of the 3rd edition of the Rock Physics Handbook.
Jun 2015 - Jun 2021

Engineering Intern

Palo Alto, CA, US

  • Wildfire catastrophe modeling to assess the risk of property loss.
  • Geospatial vegetation and climate data
  • Physical modeling of the fire's propagating front.
  • Modeling of thousands of fires scenarios with different location and ignition points.
Jul 2019 - Sep 2019

Front/End Developer

Henrique Tono (Cto Ingrain)
  • Created an automatic grain segmentation and geometry analysis algorithm for 2D images with a graphical user interface to select the ideal sand quarries as sources for hydraulic fracturing.
Nov 2012 - Jan 2013

Spectrum Auction Consultant

Bogotá, Colombia, CO

Strategic consulting and mathematical modeling for the government in the national auction and adjudication of frequency bands for 4G LTE, digital TV, digital radio, the military and more. With an international team.

May 2012 - Nov 2012

Teaching And Laboratory Assistant

Bogotá, Cundinamarca, CO

Created classes that would attract and make students effective in solving classical physics problems. Developed laboratory exercises involving robots, high-speed cameras, and motion tracking in Dynamics of Machinery.

Aug 2009 - 2012
3 education records

Juan Pablo D. education

Doctor Of Philosophy (Phd), Geophysics

Stanford University

Bachelor Of Science (B.S.), Mechanical Engineering

Universidad De Los Andes

Bachelor Of Science (B.S.), Physics

Universidad De Los Andes
FAQ

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Quick answers generated from the profile data available on this page.

What company does Juan Pablo D. work for?

Juan Pablo D. works for Stanford University.

What is Juan Pablo D.'s role at Stanford University?

Juan Pablo D. is listed as Postdoctoral Research Fellow at Stanford University.

What is Juan Pablo D.'s email address?

AeroLeads has found 1 work email signal at @stanford.edu for Juan Pablo D. at Stanford University.

Where is Juan Pablo D. based?

Juan Pablo D. is based in Stanford, California, United States while working with Stanford University.

What companies has Juan Pablo D. worked for?

Juan Pablo D. has worked for Stanford University, Anspanner, Lotus Ai, Omniscience Corporation, and Henrique Tono (Cto Ingrain).

How can I contact Juan Pablo D.?

You can use AeroLeads to view verified contact signals for Juan Pablo D. at Stanford University, including work email, phone, and LinkedIn data when available.

What schools did Juan Pablo D. attend?

Juan Pablo D. holds Doctor Of Philosophy (Phd), Geophysics from Stanford University.

What skills is Juan Pablo D. known for?

Juan Pablo D. is listed with skills including C++, Unix, Matlab, Python, Comsol, Geophysics, Fem, and Scientific Computing.

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