Shannon Egan
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Shannon Egan Email & Phone Number

Researcher and Founder-in-residence, Probabilistic Computation at Deep Science Ventures
Location: Vancouver, British Columbia, Canada 11 work roles 3 schools
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Role
Researcher and Founder-in-residence, Probabilistic Computation
Location
Vancouver, British Columbia, Canada
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Who is Shannon Egan? Overview

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Shannon Egan is listed as Researcher and Founder-in-residence, Probabilistic Computation at Deep Science Ventures, a company with 72 employees, based in Vancouver, British Columbia, Canada. AeroLeads shows a matched LinkedIn profile for Shannon Egan.

Shannon Egan previously worked as Founder/Researcher in Residence, Probabilistic Computation at Deep Science Ventures and Research Scientist at Illuming Power Inc.. Shannon Egan holds Master Of Science - Ms, Physics from The University Of British Columbia.

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Deep Science Ventures

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About Shannon Egan

Shannon Egan is a Researcher and Founder-in-residence, Probabilistic Computation at Deep Science Ventures. They is proficient in Italian, German, Portuguese and Spanish.

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Shannon Egan's current company

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Deep Science Ventures
Deep Science Ventures
Researcher and Founder-in-residence, Probabilistic Computation
Vancouver, BC, CA
Employees
72
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11 roles

Shannon Egan work experience

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Founder/Researcher In Residence, Probabilistic Computation

Current
Feb 2024 - Present

Research Scientist

Vancouver, British Columbia, Canada

Led development of electrically conductive composite materials for fuel cell bipolar plates. Leveraged my background in condensed matter theory, statistical physics, and data science to engineer breakthrough electrical properties in prototype materials, without sacrificing requirements for mechanical strength and forming.Built experiments from scratch and.

Jan 2023 - Nov 2023

Graduate Research Assistant

Vancouver, British Columbia, Canada

Modeled the quantum behaviour of electrons in solid state systems using analytical techniques and numerical simulations in Python:- Published theoretical models for 2D materials with applications in magnetic memory and topological quantum computing devices. - My thesis developed a theoretical formula and computationally-efficient numerical approach to.

Sep 2020 - Sep 2022

Graduate Teaching Assistant, Mentor Ta

Mentored 7 new TAs in classroom management and teaching methods to ensure high quality instruction for undergraduate students. Taught undergraduate classes in introductory physics, statistical mechanics, and computational physics using Python.

Sep 2020 - Sep 2022

Teacher

Led a classroom of 25 students through complex games designed to develop their critical thinking skills. Joined as the company was rapidly growing during their Series A stage.

Aug 2021 - Mar 2022

Summer Research Student

Toronto, Canada Area

I developed statistical methods for new particle searches with the U of T ATLAS Group, using tools based on Bayesian inference. We also collaborated with scientists based in Prague and London to extend these methods to the problem of "unfolding", the process of inferring the true distributions of kinematic variables (such as particle momentum) based on the.

Apr 2019 - Sep 2019

Summer Research Intern

Oxford, United Kingdom

I worked in the Oxford LHCb group on a precision measurement of the W boson mass. The W boson is mass is known much less precisely than many other elementary particles, despite being a key mediator of the weak force. I worked on finding observables that would help us constrain tricky uncertainties.

Jul 2018 - Sep 2018

Undergraduate Research Assistant

Vancouver, Canada Area

I worked with the UBC ATLAS Group on machine learning models for identifying top quarks at the LHC. We made an analogy between the "sequence" of particles deposited in the detector and natural language processing, in order to feed data about particle momentum and energy into a Long Short-Term Memory network (LSTM). This approach was twice as effective as a.

May 2017 - Sep 2017

Summer Research Student

Geneva Area, Switzerland

Participated in the international Summer Student Programme with students from across the globe, while working for the UBC ATLAS Group. I learned a lot about how CERN functions as an organization, and how international teams collaborate.

Jul 2017 - Aug 2017
Team & coworkers

Colleagues at Deep Science Ventures

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3 education records

Shannon Egan education

Master Of Science - Ms, Physics

Masters thesis on interplay of topological and magnetic properties in 2D Moiré materials (theory). Studies supported by competitive QuEST.

Bachelor Of Science - Bs, Physics

Honours thesis in condensed matter theory. P.R. Wallace Prize in Physics, awarded to a graduating student who has shown marked aptitude.

FAQ

Frequently asked questions about Shannon Egan

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What company does Shannon Egan work for?

Shannon Egan works for Deep Science Ventures.

What is Shannon Egan's role at Deep Science Ventures?

Shannon Egan is listed as Researcher and Founder-in-residence, Probabilistic Computation at Deep Science Ventures.

Where is Shannon Egan based?

Shannon Egan is based in Vancouver, British Columbia, Canada while working with Deep Science Ventures.

What companies has Shannon Egan worked for?

Shannon Egan has worked for Deep Science Ventures, Illuming Power Inc., Stewart Blusson Quantum Matter Institute, The University Of British Columbia, and Synthesis.

Who are Shannon Egan's colleagues at Deep Science Ventures?

Shannon Egan's colleagues at Deep Science Ventures include Jim Hickey, Gonzalo Fernández-Miranda, Phd, Mildred G. Jiménez-Rodríguez, Lukas Küng, and Andrew Anderson.

How can I contact Shannon Egan?

You can use AeroLeads to view verified contact signals for Shannon Egan at Deep Science Ventures, including work email, phone, and LinkedIn data when available.

What schools did Shannon Egan attend?

Shannon Egan holds Master Of Science - Ms, Physics from The University Of British Columbia.

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