My name is Desmond Kofi Boateng and I am a PhD Student at Boise State University.
I am currently working on research regarding kernel methods in operator learning and neural networks used to solve parametric PDEs.

🧭 Pronouns: cos(x) / sin(x)

• 🎓 PhD in Computing, Boise State University (USA)
  Research: Kernel methods in operator learning and neural networks for parametric PDEs

• 🎓 Master's in Mathematical Sciences, AIMS Rwanda
  Thesis: Comparative Analysis of Singular Value Decomposition Based Methods for Image and Video Compression
  (Completed entirely in Julia)

• 🎓 Bachelor's in Mathematics, University of Ghana
  Thesis: Khovanov's Categorification of the Jones Polynomial

Previously, I worked as a Machine Learning Engineer at Cape Wesley Consulting, where I:

• Built high-level web scrapers for large-scale data collection
• Developed machine learning models for NLP text classification
• Explored solutions using computer vision and image processing techniques

• Languages: Python, Julia, SQL, Bash
• ML & DL: PyTorch, scikit-learn, XGBoost, Transformers, OpenCV
• NLP: Text classification, preprocessing, vectorization, topic modeling
• Computer Vision: Image and video compression, OpenCV, SVD-based methods
• Mathematics & Modeling: Linear algebra, Topology, Category theory, Operator learning, PDEs
• Scientific Computing: Numerical PDEs, SVD, Kernel methods, Mathematical modeling
• Data Engineering: pandas, NumPy, Spark, BeautifulSoup, Selenium
• Cloud & DevOps: AWS (S3, Lambda, EC2), Git, Docker
• Other: Web scraping, Data automation, Experiment tracking

• Kernel methods in operator learning
• Scientific Machine Learning (SciML)
• Neural networks for PDEs
• Natural Language Processing (NLP)
• Image and video compression techniques
• Computer Vision & Image Processing
• Applied linear algebra and decomposition techniques
• Scalable data pipelines & automation

I'm currently open to collaborations and research discussions in:

• Neural operator learning
• Image processing and compression techniques
• Scientific deep learning projects
• SVD-based or matrix decomposition approaches in ML

• Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
  Pau Batlle et al

• A Mathematical Guide to Operator Learning Nicolas Boulle, Alex Townsend

• Fourier Neural Operator for Parametric PDEs
  Zongyi Li et al. .

• 🚴 I enjoy biking — I once completed a 30-mile ride in 3 hours (not the fastest yet, but I’m improving!)
• 🧗 I love climbing at my local indoor climbing gym
• 🍳 Cooking is one of my favorite ways to unwind and be creative
• 🛠️ I'm always working to balance technical growth with personal wellness and exploration

• 📧 desmondboateng@u.boisestate.edu
• 💼 LinkedIn

“Perfect is a veil for not doing. -Gary Vaynerchuk”