Education

Technical University of Munich

Ph.D. candidate at the Dynamic Vision and Learning Group

  • Ph.D. supervision under Prof. Dr. Laura Leal-Taixé and member of research chair of Prof. Dr. Daniel Cremers

  • Focussing on Pedestrian Trajectory Prediction and Multi-Object Tracking

  • Supervising Bachelor’s and Master’s theses and teaching Master’s courses

2018 - now

Master Thesis

University of Oxford, CABDyN Center

  • Master thesis at the CABDyN Complex Center: "Scalable Parameter Estimation on Large Scale Networks"

  • Member of Green Templeton College

Aug 2016 - Sep 2017

Master of Science (M.Sc.), Physics

Ludwig-Maximilians Universität München

  • Specialized in nonlinear dynamics, stochastic processes, and network theory

Sep 2014 - Oct 2017

ERASMUS Exchange

Universidade de Lisboa

Sep 2014 - Jul 2017

Bachelor of Science (B.Sc.), Physics

Ludwig-Maximilians Universität München

  • Thesis: "Effect of anisotropic noise source distribution on ambient noise correlations"

Sep 2011 - Jul 2014

Working Experience

Consulting Intern

Bain & Company, Munich

  • Proof of concept for applying machine learning in input management for insurance company

  • Evaluated business case for different technical solutions regarding costs and performance

  • Helped building and improving SVM model and neural nets

  • Communicated results and machine learning approach to client

Oct 2017 - Dec 2017

Consulting Intern

KPMG, Munich

  • Developed and implemented mathematical models in the in the context of credit risk impairment under IFRS 9 in VBA and R

  • Carried out research on topics related to credit risk and impairment under IFRS 9

  • Created presentations on risk management methods and modelling results

Apr 2016 - Jul 2016

Insurance Intern

Alliance Insurance, Munich

  • Performed competitors and market analysis

  • Developed marketing strategies to merchandise the products

Sep 2015 - Oct 2015

Skills

Languages:

German (mother tongue) English (fluent, C2) Portuguese (intermediate, B1)

Programming:

Python Matlab R C++ (basics) MySQL HTML/CSS PHP

Python Libraries:

Pytorch Pytorch-Lightning openCV scipy tensorboard pandas

Conference Workshops

5th BMTT MOTChallenge Workshop: Multi-Object Tracking and Segmentation

CVPR 20, virtual

Jun 2020

4th BMTT MOTChallenge Workshop: - How crowded can it get

CVPR 19, Long Beach, USA

Jun 2019

Teaching

Computer Vision 3: Detection, Segmentation and Tracking (CV3DST) (IN2375)

Guest Lecturer, Technical University Munich

Lecture online here

Summer 20

Introduction to Deep Learning (I2DL) (IN2346)

Teaching exercise sessions, Technical University Munich

Summer 20

Computer Vision 3: Detection, Segmentation and Tracking (CV3DST) (IN2375)

Guest Lecturer, Technical University Munich

Winter 19/20

Introduction to Deep Learning (I2DL) (IN2346)

Teaching exercise sessions, Technical University Munich

Summer 19

Introduction to Deep Learning (I2DL) (IN2346)

Teaching exercise sessions, Technical University Munich

Winter 18/19