Mack Jupiter

AI researcher and software developer with a passion for exploring the fascinating intersections of human cognition, advanced algorithms, and real-world applications. I strive to create intelligent systems that enhance human capabilities and solve complex problems.

My Journey

Born in Manhattan and raised with a curiosity about how things work, I've always been fascinated by the interplay between human intelligence and technology. My journey into artificial intelligence began with a simple question: "How can machines learn to understand the world the way we do?"

This question has guided me through my academic pursuits at Radboud University in the Netherlands, where I've been immersed in the multidisciplinary field of AI, combining computer science, psychology, neuroscience, and philosophy. My semester abroad at Yonsei University in Seoul expanded my perspective, exposing me to different approaches to AI research and development.

What drives me is not just the technical implementation of algorithms, but understanding their broader implications for society and human cognition. I believe that responsible AI development requires both technical expertise and a deep appreciation for the human element.

Research Interests

My research focus lies at the intersection of neuroscience and artificial intelligence, specifically in Brain-Computer Interfaces (BCIs). At the Donders Institute, I explored adaptive deep brain stimulation techniques that could revolutionize treatment for neurological conditions.

What fascinates me most about this field is how it bridges the gap between human cognition and machine learning. By understanding how our brains process information, we can develop more intuitive and responsive AI systems that work in harmony with human needs.

Beyond neural interfaces, I'm deeply interested in ethical AI development, ensuring that the intelligent systems we create serve humanity's best interests while respecting autonomy and privacy. This involves not just technical considerations, but also philosophical and sociological perspectives on what it means for AI to be truly beneficial.

Technical Expertise

My technical toolkit has been shaped by both academic research and practical implementation. While I enjoy exploring theoretical aspects of AI, I'm equally passionate about building systems that solve real-world problems.

AI & Machine Learning

  • Deep Learning Architectures
  • Reinforcement Learning
  • Natural Language Processing
  • Computer Vision
  • Neural Network Design
  • Ethical AI Implementation

Languages & Frameworks

  • Python (Advanced)
  • Java & Scala
  • TensorFlow & PyTorch
  • SQL & Database Design
  • Web Development
  • Cloud Platforms (AWS, Azure)

Research & Analysis

  • Scientific Research Methods
  • Statistical Analysis
  • Data Visualization
  • Experimental Design
  • Literature Review
  • Technical Writing

Programming

Python 95%
Java 85%
Scala 80%
JavaScript 75%

Frameworks

TensorFlow 90%
PyTorch 85%
Scikit-Learn 88%

AI & Machine Learning

Deep Learning 92%
Reinforcement Learning 85%
Natural Language Processing 80%
Computer Vision 78%

Research Skills

Scientific Research 88%
Statistical Analysis 82%
Data Visualization 85%

Notable Projects

Here are some of the projects I've worked on that showcase my interests and technical abilities.

Adaptive Neural Interface

Developed a system for simulating non-stationary adaptive deep brain stimulation, with potential applications for treating neurological disorders through responsive neural interfaces.

Python TensorFlow Deep Learning Reinforcement Learning Signal Processing BCI

Interactive ML Algorithms

Developed a comprehensive suite of interactive visualizations for machine learning algorithms, including search algorithms, clustering methods, neural networks, and deep reinforcement learning techniques with dynamic training visualization.

JavaScript HTML/CSS Anime.js Deep RL Neural Networks
View Demo

AI Supply Chain Optimization

Created machine learning models to optimize production and distribution for sustainable water bottle manufacturing, reducing waste and improving efficiency across retail networks.

Python Scikit-Learn Predictive Modeling Optimization

Ethical AI Framework

Developed a comprehensive framework for evaluating and implementing AI systems with ethical considerations at their core, focusing on transparency, fairness, and human autonomy.

Research AI Ethics Policy Human-Centered Design

Philosophy & Approach

The development of artificial intelligence requires not just technical skill, but a clear framework of principles that guide how we build and deploy these systems.

Ethics-First Development

Ethics should be a fundamental consideration from the earliest stages of development, not an afterthought. I believe in designing systems that respect human autonomy and dignity.

Iterative Improvement

The best solutions emerge through cycles of testing, feedback, and refinement. I embrace an iterative approach that continuously improves both process and outcomes.

Interdisciplinary Thinking

The most interesting problems exist at the intersection of disciplines. I draw insights from neuroscience, philosophy, and psychology to inform my technical implementations.

Collaborative Innovation

The best ideas rarely emerge in isolation. I value diverse perspectives and believe in creating environments where open collaboration leads to breakthrough innovation.

Let's Connect

I'm always open to discussing research collaborations, project ideas, or just chatting about the future of AI. Feel free to reach out!

Get In Touch