Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Range and bearing data fusion for precise convex network localization

From noisy point clouds to complete ear shapes: Unsupervised pipeline

A hybrid compartmental model with a case study of COVID-19 in Great Britain and Israel

Probabilistic registration for Gaussian Process 3D shape modelling in the presence of extensive missing data

Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements

Ranking with Confidence for Large Scale Comparison Data

Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low-Earth Orbit

Talks

Big data processing for multivariate, noisy, and time-correlated data: human face reconstruction

July 01, 2019

Conference talk at ICIAM 2019, Valencia, Spain

From noisy point clouds to complete ear models: an unsupervised pipeline for application in the prosthetic industry

October 20, 2020

Seminar talk at Virtual Seminars on Complexity, Italy (virtual)

Learning from 3D data: how mathematics can create a realistic human face

November 15, 2020

University talk at PhD2ays 2020, Milan, Italy (virtual)

MathYourAvatar

November 27, 2020

General public at MeetMeTonight, Italy (virtual)

From noisy point clouds to complete ear models

April 01, 2021

Conference Talk at 21st ECMI, Wuppertal, Germany (virtual)

Gaussian Processes for shape modelling and registration

February 12, 2022

Workshop talk at Big Data Challenges for Mathematics, Lisbon, Portugal (virtual)

Probabilistic registration in Gaussian Processes for shape modelling

July 02, 2022

Conference talk at EURO Conference, Helsinki, Finland

GP for Shape Modelling: a Probabilistic Registration Approach

February 12, 2023

Seminar talk at NOVALincs Seminars, Lisbon, Portugal

GP for Shape Modelling: a Probabilistic Registration Approach

April 14, 2023

Conference talk at LYMC2023, Lisbon, Portugal

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Currently signed in to 43 different slack teams