Andrew William Curran

Andrew William Curran

Engineer, Scientist, and Freelancer


Leibniz Institute For Neurobiology

University Clinic Magdeburg


Andrew Curran is an engineer, a scientist, and a freelancer. At the moment, he is branching out in his professional life to find the role that suits him best. Likely, it will contain some mixture of programming, data analysis, statistics, visualization, and communication, as these are all skills he highly values in himself and enjoys.


  • Auditory Neuroscience
  • Data Science
  • Teaching/Workshopping


  • PhD in Auditory Neuroscience (Ongoing), 2020

    Julius-Maximilians-Universität of Würzburg

  • M.Sc. in Biomedical Engineering, 2016

    Fachhochschule Aachen

  • B.Sc. in Mechanical Engineering, 2013

    University of Toronto



3 years


6 years


<1 year


3 years


2 years


4 years

Time-Series Analysis

7 years

Project Management

5 years

Data Visualization

6 years


Andrew’s primary focus at the moment is concluding his research into the effects of unilateral hearing deprivation on sound localization in juvenile subjects, and how they relate to stages of early-life development. He is currently preparing manuscripts based on this work, and hopes to complete this PhD in the near future. This work was completed in the working group Pathophysiology of Hearing under Dr. Maike Vollmer.

In his time as a researcher, Andrew has developed his sense for data pipeline development. He believes that software development can help us achieve not just faster, but more accurate and more transparent, analysis. He overhauled and streamlined the data collection and pipeline. Andrew has also advocated for clean statistical practices, and critically examines methodological measures. He also developed new user-interface systems for upcoming projects of other students, scheduled lab usage, and provided technical running support of the Tucker-Davis-Technologies/Matlab based set-up of the lab.

Concurrent to his PhD, Andrew is also an active participant in freelancing and volunteer positions. He provides advice on specialized analyses such as time-series analysis, multidimensional data visualization, and auditory brainstem potentials. He also consults on data pipeline optimization and data-scraping. Earlier, he was a representative of the PhD students of the Leibniz Institute for Neurobiology in Magdeburg, Germany, where he and his fellow representatives developed a new PhD agreement, pushed for open and reproducible science practices, and were active in PhD finance reforms as well as general onboarding procedures for new students.

Andrew holds an M.Sc. degree in Biomedical Engineering from the Fachhochschule Aachen, Germany, and a B.Sc. degree in Mechanical Engineering from the University of Toronto, although he strives to graduate his PhD from University Würzburg this year. He has lived in Canada and Germany and speaks both languages, English and German. His colleagues describe him as communicative, versatile, proactive, critical, and insightful.



Fullstack Data Engineer

Zeppelin Digital GmbH

Jan 2021 – Present Berlin

Within the data services team, I provide data engineering support of user-visible systems in a test-driven manner. The team is constantly researching new technology developments that can be implemented in our systems to drive internal innovation.

  • Implement multiple combined backend/frontend data systems, storing data to multiple locations (datalake, data warehouse, etc) and exposing it through APIs, allowing business units to capitalize on exposed knowledge.
  • Gave feedback/insight on potential customer data usage based on experience in PhD, influencing data architecture and cutting project times while increasing client satisfaction.
  • Manage communication between developers, product owners, and clients to ensure expectations matched delivered software. Frameworks used:
  • Airflow
  • ArgoCD
  • AWS
  • CircleCI
  • Docker
  • Git
  • Kafka
  • Kubernetes
  • PostGres
  • Python
  • Unix

Freelance Data Scientist


Sep 2019 – Present Berlin

I provide data science support to the DataLab branch of enpact, where we attempt to use data-driven approaches, combining governmental and first-hand data to inform and advise policy-makers on improving entrepreneurial outcomes in developing countries. This data is reflected by the Startup Friendliness Index. I examine the existing database and devise methods to improve indicator quality (in terms of automated extraction capability, accuracy, and representative-ness) by identifying the core message of each indicator, locating alternative measures, and automating the extraction of useful data. As a result, team resources have been diverted from manually retrieving and cleaning data and additional data and geographies can be easily supported. Responsibilities include:

  • WebScraping and API access of key data points
  • Automating data collection and reducing manual workloads
  • Consulting on improving data quality
  • Deploying an SQL database to provide data for the interactive website

Frameworks used:

  • Python (pandas, beautifulsoup, requests, sql-alchemy, selenium)
  • SQL (PostGreSQL)
  • Git (GitLab)
  • Office (Excel, Word)

Scientific Colleague

University Clinic Magdeburg

Jun 2016 – Jun 2020 Magdeburg, Germany

I conducted basic research in Auditory Neuroscience in an animal model using electrophysiology. While my core project is described below, I also acted as lab manager, planned/performed ancillary experiments as requested by my supervisor, and provided technical support to colleagues and junior researchers. I also attended conferences to relay my results to both experts and laymen around the world. Responsibilities included:

  • Programming software/hardware to enable neural data collection
  • Planning and conducting electrophysiological experiments
  • Cleaning and analysing data
  • Programmed software to assist in the process
  • Designed software in a robust way using GUI input and error-detection to allow non-technical users to benefit from the software
  • Performing inferential statistical analysis with some exploration of:
  • Generalized linear mixed models
  • Principle Component Analysis
  • Classification Learning
  • Write and visualize results for communication through posters, talks, and journal articles
  • Manage projects and maintain collaborations with other research groups

Frameworks used:

  • Matlab (Statistics, Wavelet, Curve fitting packages)
  • Python (Scipy)
  • R
  • Git (GitLab)
  • LabView
  • RPvdsEx
  • Office (Excel, Word, Powerpoint)
  • LaTex

Specialised Analysis methods include:

  • Time-series/frequency analysis
  • Wavelet Analysis
  • Poisson-based event detection
  • Peak detection
  • Multivariate feature extraction
  • Nonlinear Regression Modelling and curve fitting

Process Engineer

National Steel Car

May 2011 – Sep 2012 Hamilton, Canada

I designed jigs, stands, tables, and various tooling by modeling with SolidEdge, improvising, and incrementally improving past designs in order to facilitate quality and quantity of work created on all production lines. I performed calculations pertaining to solid mechanics, welds, and cost effectiveness in order to assist and cross-check design work by co-workers and myself. I managed production line lay-outs on AutoCAD and co-ordinated meetings between several departments in order to strengthen team communication involving trouble-shooting, process implementation, and incremental design improvements. I created various documents, including an Engineering Technical Report, by investigating physical circumstances and consulting hand-books in order to deliver information and specifications to company clients, vendors, and inspectors

Frameworks used:

  • SolidEdge
  • AutoCAD
  • Office (Excel, Word, Powerpoint)

Specialised Analysis methods include:



Programming and Statistics Workshops


Aug 2020 – Present Magdeburg

Many M.Sc. and PhD students in the lifesciences struggle with adapting to the programmatic demands of modern science. I hold regular workshops where we explore datasets collected by participants in a case-study format and examine the methods available to clean, preprocess, analyse, and visualize data.

Frameworks used:

  • Python
  • R
  • Julia
  • Ubuntu
  • Jupyter

PhD Representative

Leibniz Institute for Neurobiology

Aug 2018 – Aug 2019 Magdeburg

Together with other elected representatives, we formed a council representing the PhD students to the faculty and Board of Directors.

Responsibilites included:

  • organizing events such as social Barbecues, scientific/transferable skill workshops, and student-run conferences under a modest budget
  • Attend Executive Board of Director Meetings to keep on top of institute direction and represent PhD student interests
  • Participate at meetings of PhD reps in the Leibniz Network for larger organizational direction
  • Assist students in disputes with faculty
  • In particular, the organization of a guiding constitution for PhD rep behaviour and governance.


Hear What I Hear

Reconstructing the Music in Our Heads


  • Berlin,