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Ryan Orendorff Email & Phone Number

Software and Signal Processing Engineer | ex-Meta at Sunscreen
Location: Boulder, Colorado, United States 6 work roles 4 schools
1 work email found @fb.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email r****@fb.com
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Current company
Sunscreen
Role
Software and Signal Processing Engineer | ex-Meta
Location
Boulder, Colorado, United States

Who is Ryan Orendorff? Overview

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Quick answer

Ryan Orendorff is listed as Software and Signal Processing Engineer | ex-Meta at Sunscreen, based in Boulder, Colorado, United States. AeroLeads shows a work email signal at fb.com and a matched LinkedIn profile for Ryan Orendorff.

Ryan Orendorff previously worked as Research Engineer at Sunscreen and Founder at Mantle. Ryan Orendorff holds Doctor Of Philosophy (Ph.D.), Bioengineering from University Of California, Berkeley.

Company email context

Email format at Sunscreen

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{first_initial}{last}@fb.com
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AeroLeads found 1 current-domain work email signal for Ryan Orendorff. Compare company email patterns before reaching out.

Profile bio

About Ryan Orendorff

Crafting novel mathematical and algorithmic tools for medical image reconstruction, interventional cancer treatment techniques, optimization based control theory, and type safety.

Listed skills include Python, Biomedical Engineering, Convex Optimization, Matlab, and 12 others.

Current workplace

Ryan Orendorff's current company

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Sunscreen
Sunscreen
Software and Signal Processing Engineer | ex-Meta
6 roles

Ryan Orendorff work experience

A career timeline built from the work history available for this profile.

Research Engineer

Current
Sunscreen

Building compilers to make homomorphic encryption easy to use

Jan 2023 - Present

Founder

Current
Mantle

Software and physical engineering consulting services for biomedical device companies

Jan 2023 - Present

Research Scientist

Menlo Park, CA, US

  • Research Scientist working on mathematical tools for Brain Computer Interfaces/Human Computer Interfaces.
  • Led and developed three external academic collaborations on HCI research using ML and Game Theory, including defining statements of work(SoW) contracts, master agreements, and evaluating SoW progress. Led to several.
  • Tech lead and designer for novel online algorithms research with multiple human computer interaction (HCI) devices to enable personalized interactions with AR/VR devices. The novel algorithmic method was integrated.
  • Investigated methods for preserving data privacy; optimized compute intensive algorithms so that the algorithms could operate in a privacy-safe method without any lag in performance.
  • Developed new fNIRS signal processing techniques for brain computer interface (BCI) devices that eliminated outliers in the acquired data via comparisons to optical models of light propagation.
  • Open source BCI software platform design and development (https://github.com/facebookresearch/labgraph) to enable easier collaboration between teams and a lower barrier to entry for research projects. Reduced.
May 2020 - Jan 2023

Senior Computational Scientist

Alameda, California, US

  • Led and wrote SBIR and other research grants.
  • Developed novel image reconstruction methods for Magnetic Particle Imaging to elucidateiron nanoparticle dynamics via physics-based convex optimization models.
  • Formulated robust dehazing algorithm for MPI based on iron nanoparticle physics that significantly improves image conspicuity. Presented at WMIC 2018.
  • Developed the physics, signal processing, and business model for a novel product that acquiresnew information on iron nanoparticle dynamics using existing hardware.
  • Defined software engineering hiring policies and procedures. Designed coding interview challengesand hiring matrices.
  • Migrated image reconstruction and device control computer from Windows to NixOS.
Aug 2017 - May 2020

Control Engineer Intern

Cambridge, MA, US

Developed novel algorithms using computational geometry for generating controllers in constrained settings.

Jun 2016 - Sep 2016

Engineering Intern

Boulder, Colorado, US

  • Implemented a laser hygrometer on a Gulfstream V aircraft for the predict project capable ofmeasuring water concentrations up to 51,000 feet, using absorption spectroscopy.
  • Developed Linux device drivers in C on a preemptive kernel to interface with an I/O card on aPC/104 computing stack.
  • Installed, maintained, and operated the hygrometer on a three week scientific expedition for theICE-T project in St. Croix USVI.
May 2010 - Sep 2011
4 education records

Ryan Orendorff education

Doctor Of Philosophy (Ph.D.), Bioengineering

University Of California, Berkeley

Doctor Of Philosophy (Ph.D.), Bioengineering

University Of California, San Francisco

Masters Of Philosophy By Research, Chemical Engineering And Biotechnology

University Of Cambridge

Bachelor’S Degree, Biomedical Engineering

Tufts University
FAQ

Frequently asked questions about Ryan Orendorff

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

What company does Ryan Orendorff work for?

Ryan Orendorff works for Sunscreen.

What is Ryan Orendorff's role at Sunscreen?

Ryan Orendorff is listed as Software and Signal Processing Engineer | ex-Meta at Sunscreen.

What is Ryan Orendorff's email address?

AeroLeads has found 1 work email signal at @fb.com for Ryan Orendorff at Sunscreen.

Where is Ryan Orendorff based?

Ryan Orendorff is based in Boulder, Colorado, United States while working with Sunscreen.

What companies has Ryan Orendorff worked for?

Ryan Orendorff has worked for Sunscreen, Mantle, Meta, Magnetic Insight Inc, and Merl.

How can I contact Ryan Orendorff?

You can use AeroLeads to view verified contact signals for Ryan Orendorff at Sunscreen, including work email, phone, and LinkedIn data when available.

What schools did Ryan Orendorff attend?

Ryan Orendorff holds Doctor Of Philosophy (Ph.D.), Bioengineering from University Of California, Berkeley.

What skills is Ryan Orendorff known for?

Ryan Orendorff is listed with skills including Python, Biomedical Engineering, Convex Optimization, Matlab, Model Predictive Control, Haskell, Real Time Control Systems, and Linear Algebra.

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