Jacob H. Rothschild

Jacob H. Rothschild

Three years as Data Scientist at QuantCo, leading modelling efforts and design of an experiment spanning €2B+ in insurance claims. MSc Statistics ETH Zurich, BSc Mathematics, ML since 19, coding since 11. Reimplemented GPT-2 and most of Sutton & Barto from scratch. This summer: reimplemented ACT, Diffusion Policy and PPO, beat every public vanilla-ACT result on PushT, wrote explainers (350K+ views). Looking for a research engineer role training robot policies. Visiting SF till mid-October.

Education and awards

ETH Zürich, Statistics MSc, Switzerland

2021–2023

GPA: 5.7/6.0

Thesis: Solving Min-Cost Concave Generalized Dynamic Flows and Approximating Dynamic Optimal Power Flows

  • Awarded a NOK 150 000 (approx. $16k) scholarship from Jansons Legat.
  • Awarded other scholarships totaling SEK 137 000 (approx. $14k) beyond public funding.
  • Teaching assistant in the course Network & Integer Optimization.

Lund University, BSc in Mathematics, Sweden

2018–2021

Major: Mathematical Statistics

Thesis: Deep reinforcement learning for real-time power grid topology optimization

  • Achieved the maximum grade in 19 out of 20 courses.
  • Awarded one-year, tuition-waived, bachelor’s level exchange studies to UC Berkeley (later cancelled due to the pandemic), as the only student from the Faculty of Science.
  • Awarded scholarships totaling SEK 20 000 (approx. $2k) beyond public funding.

Nadderud High School, Oslo Area, Norway

2014–2017

GPA: 5.6/6.0

  • Placed 9th nationally in Norsk Informatikkolympiade 2017 (nationwide informatics competition for Norwegian high school students) out of 245 participants.

Work experience

QuantCo, Data Scientist, Zurich, Switzerland

Nov 2023 – Jul 2026
  • Built systems for autonomous and optimal business decisions by combining causal inference, survival analysis, and machine learning.
  • Led the design of a randomized controlled trial spanning €2B+ in insurance claims.

SINTEF Digital, Summer Researcher (Analytics and AI), Oslo, Norway

Jun–Aug 2021
  • Analyzed causalities from driving surface of dumper trucks to accelerometer data.
  • Created and implemented algorithm for detecting loading times of dumper trucks from accelerometer data.

Cognite, Summer Intern, Oslo Area, Norway

Jun–Aug 2020
  • Created machine learning (ML) benchmarker and metric for document classifier.
  • Improved document classifier by up to 35%, using semi-supervised ML.
  • Created critical sync service from Microsoft SharePoint to Google Cloud Storage.

Cognite, Data Science Intern, Oslo Area, Norway

Apr–Jul 2018
  • Built Spark architecture on Dataproc, for distributed ML, simultaneously achieving a 300x speedup and an 80% cost reduction.

Fram X, Cross-platform Developer, Oslo, Norway

Sep 2017 – Apr 2018
  • Created an official example for the Fusetools platform.
  • Improved the cross-platform Kudos (now Spotlite) app.
  • Had my story covered in Norway’s largest newspaper (Aftenposten).

Freelance and Independent App Developer (while growing up)

Feb 2012 – Aug 2017
  • Created the iOS app SKAMvarsler, which became the #1 paid app in the Norwegian App Store and was covered by Norway’s second largest newspaper (VG).
  • Created the Android game Defend n’ Send, which today has 5,000+ downloads.
  • Created the native Android and iOS app AVM-tool for Vibratec Akustikprodukter.
  • Created the native Android and iOS app Q-system for Norwegian Geotechnical Institute, which today has 1,000+ downloads and a rating of 4.6/5.0.

Projects and volunteering experience

robot-learning

2026

Reimplemented ACT and Diffusion Policy; beat every public vanilla-ACT result on PushT (+14pp); wrote explainers (350K+ views). Writeup · Robot Control · ACT

Cartsaver

2026

Created website finding cheapest way to fulfill whole shopping carts. Involved MILP, web scraping, data pipelining, resource management, frontend. Website

rl-from-scratch

2025

Worked through all of Sutton & Barto’s reinforcement learning book (including exercises) and implemented most of the algorithms therein. GitHub

gpt2-from-scratch

2025

Studied and built GPT-2 from scratch on the level of the nn.Parameter primitive in PyTorch, then trained it on a multi-GPU setup. GitHub

RTAI-project-HT22

2022

Studied and implemented DeepPoly certification for ANNs, CNNs and ResNets on the level of PyTorch tensors. GitHub

Analytics Club at ETH, Data Scientist, Switzerland

2022

Developed a fraud detection system to help the NGO IMPACT Initiatives in their mission to improve the impact of humanitarian aid programs.

Lund University, International Mentor, Sweden

2019

Organized 10 days of introduction activities for up to 60 international students.

Emerging Voices, English and Dance Teacher, Colombia

2016

Volunteered in Cartagena, Colombia for six weeks, teaching English in the slums and dance in a drug rehabilitation center for teenagers.

Courses and programs

Y Combinator Startup School, San Francisco, USA

2026

Two days on AI and entrepreneurship. 20% acceptance rate.

ETH Week, Zurich, Switzerland

2022

One-week hackathon on the topic of urban futures.

Machine Learning by Stanford University, Online Course

2017

11-week course. Obtained perfect grades.

Young Ambassadors, Oslo, Norway

2016–2017

One-year program for self-development and civic engagement. 17% acceptance rate.

Future Leaders, Oslo, Norway

2016–2017

One-year program for self-development and leadership. 34% acceptance rate.

Languages and technical skills

Languages
Norwegian (native), English (fluent, C2), Swedish (advanced), German (intermediate), Spanish (limited).
Test Scores
IELTS Academic: 8.5/9.0.
Programming Languages
Python, SQL, JavaScript, Java (Android), Swift (iOS), C#.
Tools
Polars, Pandas, scikit-learn, LightGBM, lifelines, PyTorch, Hugging Face Transformers, Git, GitHub, Apache Spark, Google Cloud Platform, React Native.
Topics
Machine learning, Robot Learning, Imitation learning, Reinforcement learning, Data science, Experiment design, Causal inference, Survival analysis, Deep learning, GenAI, Mathematical optimization, Probability theory, Statistical inference, AI safety, Big data.