Maximilian Adam

I'm a

About

Hello! I'm Max, a 4th year MEng EIE student at Imperial College London, on track for a First. I focus on cryptography, secure and verifiable computation in particular. This motivation came about after an internship at Veriphi Labs where I worked on a research engineering project motivated by verifiable constraints on AI agents: how to enforce simple “allowed/forbidden” checks when the underlying evidence is distributed across multiple parties and must remain private

I am currently working on my master's thesis exploring post-quantum signatures by instantiating HAWK with remarkable lattices, aiming for faster sampling and strong security.

Away from Academia I love playing the piano, and am currently working on Morceaux de fantaisie, Op. 3: No. 1, Elegie in E-Flat Minor by Sergei Rachmaninoff. Physically I enjoy bouldering and boxing, loving the mental flexibility that is required to excel at both.

If we grab coffee, I’ll probably talk about why verifiable computation should be built into everyday systems, the growing need to transition to post quantum cryptography for secure communication, or the risks of unsecured autonomous agents. Always happy to chat or collaborate.

Hi

  • Website: Maximilian-Adam.github.io
  • University: Imperial College London
  • Location: London, UK
  • Availability: Applying for cryptography PhD
  • Degree: MEng Electronic & Information Engineering
  • Email: maximilian.adam22@imperial.ac.uk
  • Interests: FHE, verifiable computation, PQS
  • Favourite piece: Rachmaninoff - Élégie

I love learning and take every opportunity available to expand my knowledge. Then when taking that learning and applying it to ideas that will have an impact on us and possibly the way we live is what I strive for. If you have any opportunities or ideas worth talking about please reach out to me via Email or LinkedIn.

Skills

Python (Pandas, Scikit-Learn, PyTorch, TensorFlow) 90%
C++ & Systems Programming 85%
Machine Learning & Statistical Modelling 90%
Cryptography & Coding Theory 75%
Simulation & Modelling (Lua/C++) 80%
Data Visualisation & Analytics 85%
Hardware & RISC-V (Verilog) 70%
SQL & Data Engineering 75%

Resume

Education

MEng Electronic & Information Engineering

Oct 2022 - May 2026

Imperial College London, London, UK

  • On track for a First.
  • Relevant modules: Cryptography & Coding Theory, Deep Learning, Statistical Signal Processing.

A Levels

July 2022

Highgate School, London, UK

  • Further Mathematics A*, Physics A*, Chemistry A*, Mathematics A*.
  • President of Engineering Society.

Projects & Competitions

Selected Work

  • Built and documented a C compiler, reinforcement-learning in-hand manipulator, neural network mini-library, balancing robot, and RISC-V CPU in Verilog.
  • Experimented with LSTMs, transformers, GBMs, and YOLO models across research projects.
  • Active in IBM's Hackathon, Jane Street's Monthly Puzzles, IC Hack, Imperial Algothon, Citadel Correlation One, and Numerai's Data Science Tournament.

Professional Experience

Research Intern

August 2025 - September 2025

Veriphi Labs, London, England

  • Worked on fully homomorphic encryption for multi-party computation (MPC).

Simulation/Data Analyst Intern

August 2024 - September 2024

Nova Systems International, Farnborough, England

  • Simulated highly complex conflict scenarios and decision pipelines.
  • Built GPS and satellite simulations using Lua and C++.

Machine Learning Intern

August 2023 - September 2023

Tekever, Southampton, England

  • Improved drone-view people detection F1 score by 15% through domain adaptation.
  • Strengthened model robustness via data cleaning, transformation, and visualisation with Pandas, Scikit-learn, NumPy, and FiftyOne.
  • Collaborated with the team to define and deliver performance targets, documenting outcomes.

Data Analyst Intern

June 2023 - July 2023

Williams Grand Prix Engineering, Grove, England

  • Developed a tool to visualise wind tunnel data across key aero metrics.
  • Delivered real-time streaming of car simulation data into Excel for performance analysis.
  • Co-developed a platform to improve the manufacturing pipeline and presented it to internal teams.

Contact

Location:

Exhibition Road, London SW7 2AZ