Hey there! I am currently pursuing a PhD in Prof. Alexandra Brintrup’s Supply Chain AI Lab at the University of Cambridge.

My research focuses on Machine Unlearning and Cooperative AI.

I previously worked in the Tech & Digital Advantage team of the Boston Consulting Group (BCG) in Zürich and co-founded a deep tech startup funded by the European Space Agency Business Incubator (ESA BIC).

Cam logoETH logobcg logoesa biclogosigma logo merc logo

Academic Experience

Research
Google Scholar

  1. 2nd PhD Year

    Loss-Free machine Unlearning
    Foster J.*, Schoepf S.* & Brintrup A.
    ICLR 2024 Tiny Papers | * equal contribution

    Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening
    Schoepf S., Foster J. & Brintrup A.
    Preprint (under review)

    Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization
    Foster J., Fogarty K., Schoepf S., Öztireli C & Brintrup A.
    Preprint (under review)

  1. 1st PhD Year

    Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
    Foster J.*, Schoepf S.* & Brintrup A.
    AAAI 2024 | * equal contribution

    AgentChat: Multi-Agent Collaborative Logistics for Carbon Reduction
    Xu L., Mak S., Schoepf S., Ostroumov M. & Brintrup A.
    Preprint (under review)

    Identifying contributors to manufacturing outcomes in a multi-echelon setting: a decentralised uncertainty quantification approach
    Schoepf S., Foster J., & Brintrup A.
    ECML PKDD 2023 Workshop, AI for Manufacturing

    Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach
    Xu L., Proselkov Y., Schoepf S., Minarsch D., Minaricova M. & Brintrup A.
    IFAC World Congress 2023

    Data augmentation and synthetic data generation for low-frequency and sparse data problems
    One of two co-facilitators for a team of 11 researchers
    The Alan Turing Institute Data Study Group

  1. Before PhD

    Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem
    Schoepf S., Mak S., Senoner J., Xu L., Netland T. & Brintrup A.
    IJCAI 2023 Workshop, Search and Planning with Complex Objectives

    Pattern Recognition ANNs: Automotive Brake Creep Groan as Case Study
    Pürscher M., Schoepf S. (oral presentation), & Fischer P.
    8th Congress of the AAAA (2018)

Education

  1. University of Cambridge, Clare College (UK)
    PhD in Engineering (Oct. 2022 - Present)
    ‍    ‍
    Funded by UKRI EPSRC DTP
  2. ETH Zürich (CH)
    ‍    MSc in Management, Technology, and Economics (Sep. 2019 – Oct. 2021)
    ‍    ‍
    - Courses: Data Mining, Big Data, Social Data Science, Business Analytics, Explainability and Interpretability Seminar, etc.
    - Won the semester-long Marketing Analytics prediction competition (data from a Swiss FI; offered fast track recruitment)
  3. University of Cambridge, Downing College MCR affiliate (UK)
    Visiting Graduate Student; Distributed Information and Automation Laboratory (Mar. 2021 – Sep. 2021)
    ‍    ‍
    Thesis on reinforcement learning for the combined problem of vehicle routing and 3D bin-packing to calculate near-optimal solutions in linear time (Encoder-decoder model with PPO in Tensorflow; Environment coded from scratch)
  4. Graz University of Technology (AUT)
    BSc in Mechanical Engineering and Business Economics (Sep. 2015 – Dec. 2018)
    ‍    ‍
    - Thesis and paper (Alps Adria Acoustics Association Congress) on brake-creep-groan detection via artificial neural networks
    - Circle of Excellence 2018 (one-year program for ∼ 20 students per year from all universities in Graz; 50.000+ students)
  5. Higher Technical Education Institute Fulpmes (AUT)
    Matura (5-year STEM Highschool); Plastics Technology and Product Design Track (Sep. 2009 – May 2014)‍

    - Graduated 1st in class
    - Thesis: Designed and commissioned an injection molding tool (3rd at state competition)

Working Experience

  1. Boston Consulting Group AG (CH)
    ‍    Associate - Technology & Digital Advantage (Nov 2021 – Sep 2022)
    ‍    ‍
    - Created a digital maturity assessment framework for a leading financial institution at process step granularity level to estimate savings potential in USD, acting as the information backbone for a multi-year digital transformation
    - Performed a vendor due diligence for one of three use cases of a cybersecurity asset (market model, KPCs, etc.)
    - Part of the SAP x BCG ”tech-enabled sustainability transformation” Moonshot PMO team
  2. Audili OG - European Space Agency Business Incubator (AUT)
    ‍    Co-Founder (Dec 2018 – April 2021)
    ‍    ‍
    - High-resolution soil type prediction via spectral satellite imagery
    - Space Oscar winner at Copernicus Masters 2019, Europe’s largest earth observation competition initiated by ESA
    - Designed a Kedro framework with MlFlow, boto3, Optuna, custom sklearn pipelines and custom loss functions
    - Successfully drafted business plans/applications for the European Space Agency Business Incubator, Copernicus Accelerator,Clinton Global Initiative University, and Parsec 100 (Horizon 2020), totalling over €60.000 equity-free funding
  3. Daimler AG (DE)
    ‍    Business Development Internship at Future Transportation (May 2019 – Aug. 2019)
    ‍    ‍
    - OSS Onboard Logic Unit platform
    - Used the engineering concept of morphological boxes to create a modular framework for possible go-to-market strategies
    - Drafted and evaluated the data monetisation and value creation parts of the business model
  4. OMV AG & Institute of Innovation and Industrial Management (AUT)
    ‍    Project Manager (Oct. 2017 – May 2018)
    ‍    ‍
    - Corrosion detection in pipelines of the national oil and gas company OMV AG
    - Designed an IoT solution estimated by OMV AG to result in 75% savings in monitoring interventions
    - Led an interdisciplinary team of five students from ideation to PoC, reporting directly to the upstream technology manager
  5. Austrian Service Abroad (USA)
    ‍    Translator and Tour Guide; Virginia Holocaust Museum (Jul. 2014 – Jul. 2015)
    ‍    ‍
    Selected as one of the top 30 applicants to represent Austria abroad (mandatory Austrian civil service)
  6. ‍‍Add. Internships: Quality assurance for automotive die-casting products; injection molding for motorcycle parts; etc.

Extracurricular Experience

  1. Sigma Squared Society (formerly Kairos Society)
    ‍    Fellow (May 2020 – Present)
    ‍    ‍
    Sigma Squared Society is a non-profit organisation and global community of the world’s most ambitious young founders selected for their impact-driven initiatives and their ability to transform broken industries. (prev. Kairos Society)
  2. Analytics Club at ETH Zürich
    ‍    Board Member (Sep. 2019 – Mar. 2021)
    ‍    ‍
    Led the DS meetups series (see Analytics Club at ETH YouTube)
  3. TUG Racing – Formula Student
    Data Acquisition Team Member (Oct. 2018 – Apr. 2019)
    ‍    ‍
    Modeled and implemented a limited-slip differential for the lap time simulation
  4. icons – consulting by students
    Board Member and Student Consultant (Nov. 2016 – Oct. 2018)
    ‍    ‍
    Led 20+ student consultants at the Graz office of Austria’s largest student consultancy
  5. Add. memberships: Tera Eco Racing Team, Austrian Service Abroad State Coordinator, Traditional Music Band, Austrian Water Rescue
  6. Hackathons: 1st at the Green Tech Jam hackathon (behavior nudging), Hackathon for the blind (supermarket navigation), etc.
LinkedinGitHubGoogle Scholar Downhill Unicycling Email: ss2823[at]cam.ac.uk