William Simion-Monfaite@8lliam

Events attended

Submissions made

1 year of experience

Socials

🤝 Top Collaborators

BS Biochemistry graduate passionate about AI-assisted cancer diagnostics, molecular biology, and healthcare innovation. Interested in combining biological research with emerging AI technologies to develop impactful solutions in early disease detection and precision medicine. Skilled in scientific research, literature review, presentations, and healthcare-focused project collaboration.

Umaima Mashhood

Computer engineering student + AI enthusiast + visual storyteller. I build AI applications that solve real problems whether that's generating professional content, automating workflows, or creating ai agents. Python | Generative AI | Design

Ahmad Azeem

A passionate frontend developer with strong expertise in HTML, CSS, and JavaScript, and proficiency in Python, Pandas, and NumPy. A consistent problem-solver who sharpens algorithmic thinking through regular LeetCode practice, building a solid foundation for scalable and efficient software design. Actively exploring Machine Learning and emerging technologies with a forward-looking approach to AI-driven development. Committed to continuous growth and currently expanding into the AI/ML space through platforms like Lablab.ai — leveraging hackathons and community-driven projects to contribute to innovative, real-world solutions.

🤓 Latest Submissions

OncoMarket Intelligence Hub

In the rapidly evolving landscape of oncology, researchers and investors are often hindered by fragmented data. Triple-Negative Breast Cancer (TNBC) research is currently siloed across disparate sources—including PubMed, ClinicalTrials.gov, patent databases, and news outlets—making manual monitoring slow, expensive, and error-prone. TNBC Insight AI solves this by aggregating, analyzing, and delivering real-time intelligence through a single, unified dashboard. Built on a robust, enterprise-grade architecture using React and a Python/Flask API, our platform leverages OpenAI’s NLP to distill complex publications and trial reports into concise, actionable briefs. The system automates the entire intelligence workflow, allowing users to track drug pipelines, monitor trial enrollment, identify funding signals, and visualize patent landscapes in real-time. By automating these tasks, TNBC Insight AI enables teams to move at the speed of science, ensuring that critical competitive moves and emerging research trends are never missed.

Hackathon link

31 May 2026

👌 Attended Hackathons

Web Data UNLOCKED Hackathon

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.