Research Focus
My research spans theoretical and applied domains in quantum computing, AI, and optimization, with a strong focus on systems that bridge physical models and computational abstractions. Click any topic to explore more.
I work on quantum algorithms and tensor network approaches to simulate physical and chemical systems, including molecular Hamiltonians and quantum phase transitions. This includes leveraging quantum circuits to approximate the evolution of quantum states and exploring techniques like Trotterization, VQE, and real-time dynamics. Learn more
My focus includes variational algorithms such as QAOA and classical mappings like QUBO and Ising models. I explore how quantum annealers and hybrid algorithms can address NP-hard problems such as MaxCut, vertex cover, and scheduling. This also includes complexity-aware mappings to quantum hardware. Learn more
I investigate dynamic processes on networks, including epidemic modeling, synchronization, and controllability. My work applies to biological and neural systems, protein interaction networks, and multilayer graphs. I focus on both structure (centrality, modularity) and dynamics (flow, diffusion). Learn more
I study the theory behind deep learning, focusing on architecture design, capacity, and generalization. This includes theoretical models of neural networks, vision models (CNNs, Vision Transformers), and learning guarantees. I also explore representation learning and information bottlenecks. Learn more
I work on exact and heuristic techniques for combinatorial optimization, including integer linear programming (ILP), branch-and-bound, and metaheuristics. Applications range from logistics and scheduling to resource allocation and routing, often modeled as MILP or graph-based formulations. Learn more
Initiatives
I am also active in several initiatives and organizations and am
always open to new opportunities.
I've actively participated in and led numerous hackathons worldwide, winning 10+ events and later mentoring or judging others. These challenges sharpened my applied skills in quantum computing, AI, and social impact tech.
- Hackyeah (several times), Nuevahacks, Philips Brabathon, hths.hacks(), etc.
- Invited and sposored by Stanford University and the University of Waterloo to attend their hackathons.
- Judge & Mentor - MIT Hacks
- Developed and/or sold projects to BGK, Govtech Poland, LOT Polish Airlines, Philips, IBM Quantum
- Topics - Healthtech, quantum art, AI in health, humanitarian logistics
I'm passionate about supporting young and underrepresented individuals in tech and academia. I mentor via global and regional initiatives and enjoy empowering learners through teaching and coaching.
- Project Access - Mentoring high school students applying to top global universities
- Peer coaching in algorithmics, interview prep, and university admissions
I co-founded Code4Ukraine, a global hackathon initiative to support civilians affected by war, combining technological expertise with grassroots mobilization and logistics.
- Full organization - from start to finish
- Hybrid format: online & on-site (Eindhoven)
- Featured at Google I/O
- Focus on medical and refugee aid tech
I've founded and helped lead student clubs focused on AI and quantum computing to foster collaborative learning and bring applied theory to life.
- Founded high school AI & Quantum Society - 50+ students, regular workshops
- Organizer and Lecturer - Python, Flask, and Machine Learning workshops
- Lectures and demo days for research awareness
I apply technology to address real-world problems in non-profit environments. I am always open to developing tools for non-profits pro-bono.
- AI tools for mental health resource matching, national ischemic stroke patient management and several other initiatives
- Workflow automation for humanitarian logistics
Technologies
Click on each category to explore my experience with various programming languages, frameworks, and tools.
Language Proficiency
Click a language to view skill-specific CEFR levels.


