Taylor Mordan
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Taylor Mordan Email & Phone Number

Senior Computer Vision Engineer at MobiLysis
Location: Lausanne, Vaud, Switzerland 7 work roles 6 schools
1 work email found @epfl.ch LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Current company
Role
Senior Computer Vision Engineer
Location
Lausanne, Vaud, Switzerland

Who is Taylor Mordan? Overview

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Quick answer

Taylor Mordan is listed as Senior Computer Vision Engineer at MobiLysis, based in Lausanne, Vaud, Switzerland. AeroLeads shows a work email signal at epfl.ch and a matched LinkedIn profile for Taylor Mordan.

Taylor Mordan previously worked as Postdoctoral Researcher at École Polytechnique Fédérale De Lausanne and Postdoctoral Researcher at Sorbonne Université. Taylor Mordan holds Doctor Of Philosophy - Phd, Artificial Intelligence from Sorbonne Université.

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{first}.{last}@epfl.ch
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Profile bio

About Taylor Mordan

A Senior Computer Vision Engineer at MobiLysis, with 9+ years of hands-on experience in Deep Learning and Computer Vision. Passionate about leveraging Artificial Intelligence to solve real-world problems.Strong academic background with extensive industry exposure, in international, both research and engineering, environments. Excellent analytical thinking, problem-solving, and troubleshooting skills. Previously a Postdoctoral Researcher in Artificial Intelligence at VITA Lab, EPFL.Completed a PhD degree in Artificial Intelligence at Sorbonne Université, on the topic of Deep Learning for Computer Vision. Before that, received an Engineering degree at École Nationale Supérieure de Techniques Avancées (ENSTA) ParisTech with a Major in Robotics and Embedded Systems, and a Master of Science in Computer Science at Université Pierre et Marie Curie (UPMC) with a focus on Computer Vision.

Listed skills include Computer Vision, Machine Learning, Deep Learning, C/C++, and 20 others.

Current workplace

Taylor Mordan's current company

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MobiLysis
Mobilysis
Senior Computer Vision Engineer
AeroLeads page
7 roles

Taylor Mordan work experience

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

Senior Computer Vision Engineer

Current

Lausanne, Vaud, Switzerland

Senior Computer Vision Engineer at MobiLysis, developing Computer Vision solutions for large-scale mobility monitoring and analysis from drone imagery.

Nov 2023 - Present

Postdoctoral Researcher

Lausanne, Vaud, Switzerland

  • Postdoctoral Researcher at VITA Lab, EPFL, working on generic Deep Learning, learning human skeleton keypoints or using them for human behavior understanding, and pedestrian analysis for autonomous driving, while also.
  • Published 10 scientific papers in international conferences/journals (ICCV, NeurIPS, ICRA, T-ITS, TR-C, RA-L, TRISTAN) on the topics of Deep Learning techniques, visual understanding using human skeletons, and.
  • Outperformed internal and public methods for detection of hockey players with skeletons (>90%) for an Innosuisse project with Dartfish;
  • Collaborated with Valeo.ai on scaling multi-task models to recognize up to 32 pedestrian attributes, including actions and attention;
  • Supervised 4 PhD students and 17 semester-long Master-level projects;
  • Reviewed paper submissions for international conferences/journals (CVPR, ICCV, WACV, TPAMI, IJCV, CVIU, RA-L).
Aug 2019 - Nov 2023

Postdoctoral Researcher

Paris, Île-de-France, France

  • Postdoctoral Researcher at MLIA Lab, Sorbonne Université, working on adding depth privileged information into Unsupervised Domain Adaptation from synthetic data for autonomous driving applications.Main highlights:
  • Published 1 scientific paper on training Deep Learning models with synthetic data for autonomous driving;
  • Supervised 1 PhD student in collaboration with Valeo.ai.
Jan 2019 - Jun 2019

Research Engineer

Élancourt, France

  • Industrial PhD (CIFRE PhD program) carried out at Thales LAS France as a Research Engineer in collaboration with Sorbonne Université. The industrial context of the PhD was about the detection of vehicles in aerial.
  • Completed PhD partly at company, with scientific research topics inspired from relevant industrial problems;
  • Designed a pipeline for object detection using Deep Learning adapted to the industrial problem, and integrated it into a framework existing at Thales;
  • Advised on the methodology for diverse Machine Learning questions.
Nov 2015 - Dec 2018

Final Year Internship In Deep Learning And Computer Vision

Argenteuil, France

  • Final year internship at ENSTA ParisTech.Topic: Detection of Small Targets in Aerial Infrared Images.Six-month internship at Sagem DS with the aim of improving the performance of the detection of small vehicles on the.
  • Completed a study of the state of the art in object detection, with a focus on Deep Learning and Transfer Learning;
  • Extracted features from deep Convolutional Neural Networks learned on large databases with the Caffe library using C++, and integrated them within an existing detection pipeline on VeDAI;
  • Optimized and further developed the whole detection pipeline, leading to a +16% improvement of the state of the art on VeDAI;
  • Received "André Blanc-Lapierre" award from SEE (French sibling of IEEE) for the best final year internship in STEM within Paris region.Under the supervision of Farid Oudyi.
Apr 2015 - Sep 2015

Research Internship In Robotics

Fukuoka, Japon

  • Second year internship at ENSTA ParisTech.Topic: Coordination Control of Service Robots.Three-month internship at the Laboratory for Intelligent Robots & Vision System (IRVS), Kyushu University, within the frame of.
  • Initiated the integration of a new Robotics motion planning framework (ROS MoveIt!, C++) in the laboratory to control various robots;
  • Applied it to the cooperation between two mobile robots: a mobile base Pioneer 3-DX and a humanoid robot SmartPal V.Under the supervision of Ryo Kurazume.
May 2013 - Aug 2013

On-The-Job Internship In A Japanese Hotel

High Mount Hotel

Hakuba, Japan

First year internship at ENSTA ParisTech.Three-week Japanese seminar followed by an intensive one-month manual work experience in a Japanese hotel. Work included room cleaning and restaurant serving.

Jul 2012 - Aug 2012
6 education records

Taylor Mordan education

Doctor Of Philosophy - Phd, Artificial Intelligence

PhD in Artificial Intelligence (Deep Learning, Computer Vision) in MLIA Lab, Sorbonne Université. Thesis title: Designing Deep.

Master Of Science - Ms, Computer Science, Specialization In Imaging

Second year of Master in Computer Science at the first French research university followed simultaneously with the last year at ENSTA.

Computer Science, Specialization In Artificial Intelligence

Gap year (optional) of Erasmus exchange studies in Stockholm, Sweden, at the biggest technical university in Scandinavia to follow courses.

Advanced Mathematics, Physics And Computer Science

Lycée Clémenceau

Two-year intensive undergraduate program in Mathematics and Physics (known as MP*) preparing for the National Competitive Entrance.

Final Secondary School Qualification, Sciences, First Class Honors

Lycée La Fontaine Des Eaux

French Baccalauréat, awarded with first class honors and European Option (stronger focus on English).

FAQ

Frequently asked questions about Taylor Mordan

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

What company does Taylor Mordan work for?

Taylor Mordan works for MobiLysis.

What is Taylor Mordan's role at MobiLysis?

Taylor Mordan is listed as Senior Computer Vision Engineer at MobiLysis.

What is Taylor Mordan's email address?

AeroLeads has found 1 work email signal at @epfl.ch for Taylor Mordan at MobiLysis.

Where is Taylor Mordan based?

Taylor Mordan is based in Lausanne, Vaud, Switzerland while working with MobiLysis.

What companies has Taylor Mordan worked for?

Taylor Mordan has worked for Mobilysis, École Polytechnique Fédérale De Lausanne, Sorbonne Université, Thales Las France Sas, and Sagem Ds.

How can I contact Taylor Mordan?

You can use AeroLeads to view verified contact signals for Taylor Mordan at MobiLysis, including work email, phone, and LinkedIn data when available.

What schools did Taylor Mordan attend?

Taylor Mordan holds Doctor Of Philosophy - Phd, Artificial Intelligence from Sorbonne Université.

What skills is Taylor Mordan known for?

Taylor Mordan is listed with skills including Computer Vision, Machine Learning, Deep Learning, C/C++, Matlab, Image Processing, Pattern Recognition, and Artificial Intelligence.

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