Resume

Delft, Netherlands

Email: wpggrasso@gmail.com

Phone: +31 6 36225008

Website: willemgrasso.com

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Clinical Technology bachelor student at TU Delft with a strong interest in medicine, neurotechnology, and software engineering. Experience with real time software systems, medical and biological data analysis, and integration of software with sensors and embedded hardware. Motivated to work on medical devices and brain computer interfaces that combine engineering with clinical application.

Bachelor of Science in Clinical Technology

TU Delft, Netherlands · September 2022 - Present

Focus: neurotechnology, neural signaling, bioinformatics, electronics, hardware and software integration, clinically grounded systems.

High School Diploma

American School of The Hague

AP Classes: Mathematics AB, Physics 1, Physics 2, Biology, Chemistry

Relevant Coursework

  • Nervous System and Neural Signaling
  • Sensory Systems and Signaling
  • Bioinformatics
  • Electronics and Circuit Theory
  • Design Medical Technology
  • Mathematics and Programming

Programming

Python (primary), JavaScript (basic)

Data & Signals

Biological signal analysis (DNA sequencing, MRI imaging), noise handling & filtering, large dataset analysis (20,000+ patient records)

Systems & Software

Realtime systems and state synchronization, backend architecture and database design (Supabase), live updates for multiple users

Hardware

Arduino, Raspberry Pi, sensor integration, motor control, basic power electronics

Tools

Supabase, Git, CLI, FileZilla, hosting/deployment workflows (Strato)

Surgical Robotics Internship

Amphia Hospital, Netherlands · Present

  • Shadowed 18 surgical procedures, including 12 robotic assisted surgeries using the Da Vinci system.
  • Practiced on Da Vinci simulation systems to gain insight into how surgeons experience robotic assisted procedures.
  • Observed human machine interaction, safety requirements, and real time decision making in the operating room.
Letter of Recommendation

Biological Signal and Medical Data Analysis

  • Analyzed DNA sequencing data from over 20000 cancer patients using clustering methods to identify breast cancer subgroups based on BRCA gene expression, and developed rule based MRI tumor detection pipelines with robust preprocessing for noisy medical data.

Wearable Balance Tracking Sensor

  • Built a sensor based balance measurement system using Raspberry Pi to collect and process motion data, quantifying upper body stability and movement patterns in older patients.

Happie Dinner Planning App

  • Built and deployed a real time group based dinner planning application with synchronized multi device state, handling concurrency, low latency updates, and early scaling, tested in over a dozen student houses.

Community Clean Up Initiative

Epukiro, Namibia

  • Implemented a community cleanup initiative that links waste collection to food support for local residents and has remained active for over three years.

The Farm Orphanage

Gordons Bay, South Africa

  • Led technical coordination and website development to support daily operations.
  • Helped design and implement new revenue generating initiatives to improve long term financial sustainability of the farm.

Wildlife conservation work in central Namibia

Worked with animals unable to return to the wild due to prolonged exposure to humans.

Medical outreach support in eastern Namibia

Volunteered in a hospital in Epukukiro supporting the underserved San community for over two and a half months.