Max Serra Lasierra

Max Serra Lasierra

MSc in Data Science student
BSc in Physics | R&D Engineer

University of Potsdam

About me

I am a Physics graduate with 3 years of experience in R&D engineering and embedded SW and HW development. I am interested in researching the potentials and pitfalls of Artifical Intelligence, with the goal of enabling safe, reliable and beneficial AI that can be seemlesly integrated in society. During my MSc in Data Science at the University of Potsdam I want to dive into the explainability of Machine Learning models.

Download my CV.

  • Data Science
  • Artificial Intelligence
  • Blockchain & DeFi
  • IOT, IIOT and the Economy of Things
  • MSc in Data Sicence, present

    University of Potsdam

  • BSc in Physics, 2019

    University of Barcelona


R&D and Product Design
Embedded SW and HW
Team Coordination


SFB 1294, University of Potsdam, Potsdam
Research collaboration / Master project
Feb 2023 – Aug 2023 Potsdam
  • Analysing and extending existing regime dependent causal discovery algorithms for the non-linear case. Such algorithms are of great importance both in the geosciences and in personalised medicine, where seasons and treatments may change the underlying data generating process.
Data Science Working Student
Dec 2021 – May 2023 Berlin
  • Analysed the adoption of our algorithm recommendations by the shopfloor operators.
  • Researched the regime dependent performance of multiple models and designed a feature for semi-dynamic recommendations that capture the current state of the production line.
  • Day-to-day data science tasks; fixing bugs and implementing features to keep our pipelines running.
FFT Produktionssysteme GmbH
Research and Development Engineer
Jun 2019 – May 2021 Bremen
  • Designed a PCB (Printed Circuit Board) with sensors, display and wireless capability, which is now in the process of getting a CE certification.
  • Conceptualized and developed an IoT sensor and gateway for safer sailplane winch launches. During 2020 we deployed the system in two flight clubs and collected data of over 200 launches.
  • Coordinated the work of three master students during their internships. Also mentored one masters thesis on the use of RFID for logistics.
  • Designed and led the SW architecture of a calibration machine for load cells and force transducers.
  • Contributed to the concept and development of a data management and evaluation tool based on the Odoo framework.
FFT Produktionssysteme GmbH
Internship - Engineer in R&D and Embedded Systems
Jun 2018 – Jun 2019 Bremen
  • Developed a wireless sensor network for structural monitoring of transportation modules.
  • Designed a PCB prototype with sensors, display and wireless capability.
  • Wrote and tested C drivers and libraries for the PCB sensors and display.


University of Technology Sydney
Exchange Student - MSc in Data Science
Jul 2023 – Present Sydney
University of Potsdam
MSc in Data Science
Oct 2021 – Present Potsdam
Technische Universität Berlin
Visiting student - Causal Inference
Sep 2022 – Feb 2023 Berlin
Massachusetts Institute of Technology, online via edX
MicroMaster in Statistics and Data Science
Apr 2019 – Jul 2020 Cambridge, MA
University of Barcelona
BSc in Physics
Apr 2014 – Jan 2019 Barcelona
  • Pathway: Fundamental Physics
  • Thesis: Interaction of SAW with the nuclear spin


18.6501x: Fundamentals of Statistics
See certificate
6.86x: Machine Learning with Python-From Linear Models to Deep Learning
See certificate
14.310Fx: Data Analysis in Social Science
See certificate
6.431x: Probability - The Science of Uncertainty and Data
See certificate