Biotech Meetups New York
Explore Biotech Networking Events in NYC
NYC MedTech, BioTech, Pharma Pitch & Networking Event
Tue, Nov 24, 12:00 AM**✨ To join this event, please make sure to book your ticket here 👉 [https://www.eventbrite.com/e/nyc-biotech-pharma-medtech-networking-pitch-mixer-tickets-2003456566522](https://www.eventbrite.com/e/nyc-biotech-pharma-medtech-networking-pitch-mixer-tickets-2003456566522)** **Spaces are limited, and only registered guests with a ticket will be able to attend. Don’t miss out!** **Pitch & Networking Event: MedTech, HealthTech, BioTech** An evening dedicated to innovation in healthcare and life sciences. This event brings together **medtech pioneers, healthtech innovators, biotech founders, investors, and industry experts** for live pitches and valuable networking. The heart of the event is **open pitching**—and everyone is invited to take the mic. Whether you’re building medical devices, developing biotech solutions, working on digital health platforms, or investing in transformative technologies, you’ll have **1 minute to pitch** your venture, service, or collaboration opportunity. **Why Attend?** * **Founders & Innovators**: Pitch your startup, gain visibility, and connect with investors and strategic partners. * **Investors**: Discover promising startups in medtech, healthtech, and biotech and meet ambitious founders. * **Service Providers & Experts**: Offer your expertise to founders seeking legal, marketing, or technical support. * **Industry Professionals**: Explore new projects, advisory roles, and collaborative opportunities in health innovation. **What to Expect:** * Open networking on arrival * 1-minute live pitches from attendees (no slides, no panels—just clear and direct sharing) * Post-pitch networking to follow up with interesting connections * A curated group of founders, investors, service providers, and health innovation professionals **Start Networking Before the Event** Once you register, you’ll receive access to our **dedicated WhatsApp group**, so you can introduce yourself, share what you’re working on, and connect with other attendees before the event even begins. **Who Should Attend?** * Medtech, healthtech & biotech startup founders * Life sciences investors and VCs * Service providers: legal, marketing, tech, consulting * Researchers, scientists, health professionals & ecosystem builders Whether you’re pitching a breakthrough innovation, offering growth services, or looking for strategic connections—this is your platform to connect, collaborate, and grow. **🎯 Only 50 spots available – register now to secure yours.👉 Click “Follow” on our profile to stay updated on future events.**
Nov. 16th, 2026 NYC Quantum Computing In Person and Zoom Meetup
Mon, Nov 16, 11:00 PM**Abstact:** I will talk about topological quantum computing: What is it? What are its trade-offs? What is the state of the art? I will also present my recent progress towards making it a reality, describing work and new results with colleagues at University of Chicago, Purdue, Delft and other institutions. **Bio: Dmitry Green** is an active physicist, recognized for his contributions to quantum physics, with two decades of experience as a partner and managing director in leading hedge funds. He continued both endeavors side-by-side, giving him a unique perspective that combines technology and capital markets. Dmitry now focuses on quantum technologies as an investor and operator. by attending this meetup you are accepting this risk waiver: https://tihny.com/waiver
Tech Gather NYC November Meetup
Tue, Nov 17, 12:00 AMTech Gather NYC is a mixer for anyone and everyone in NYC Tech. New to Tech? Welcome! 15 years in? Come on down! Just got to the city? Get to know the techies here! Been here forever? Grab your "Pizza Rat" headband and welcome the newbies. Be you Product, UI, Coder or Solutions or any of the buzz terms our industry throws out there, come unwind at a chill Irish pub on Fulton with cheap drinks and stay for a top-notch (free!) karaoke session next door. Did I mention the whole thing is free?
Enterprise AI Showcase with CircleCI, Faros, groundcover
Thu, Nov 19, 10:30 PM**Important:** Register on the [event website](https://www.aicamp.ai/event/eventdetails/W2026111914) is required for admission. (RSVP on meetup is turned off) Welcome to the Enterprise AI Showcase in New York. We're a community for practitioners building, deploying, and scaling AI inside enterprises. We're here to tackle the hard problems: integration, deploying, governance, monitoring, security, ROI, and the messy middle between pilot and production. This November Edition features experts from **CircleCI, Faros, groundcover**, who will demonstrate how to build production-ready agentic AI systems from code to deployment. **Agenda:** \- 5:30pm\~6:00pm: Checkin\, food and networking \- 6:00pm\~6:15pm: Welcome and Community update \- 6:15pm\~7:30pm: Tech talks and Q&A \- 7:30pm\~8:30pm: Open discussion\, Mixer and Closing\. **Tech Talk : One Take: Engineering Agent Loops** **Speaker:** Ryan Hamilton (Senior Developer at CircleCI) **Speakers/Topics:** Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: [Submit Topics](https://forms.gle/JkMt91CZRtoJBSFUA) **Sponsors:** We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 25,000+ AI developers in New York or 500K+ worldwide.
Flushing Tech Bi-Weekly Hackathon
Sat, Nov 14, 9:00 PM**🚀 Calling all tech enthusiasts 🚀** Come and join us every 2 weeks from 4 PM - 6 PM at Queens College, Flushing! Bring your laptops, your brightest ideas, and/or on-going projects – and let's build something extraordinary together! The Flushing Tech Meetup invites you to a free-form, self-organized 2-hour mini-hackathon where creativity knows no bounds. We welcome: * Software Engineers & Developers * UX/UI Designers & Design Thinkers * Product & Project Managers * Data Scientists & Analysts * Tech Entrepreneurs & Idea People * Students & Tech Enthusiasts of all levels **All are welcome** The Hackathon is open to the public! You do not need to be a student of Queens College to attend. **Agenda** 1. Welcome and introductions (5min) 2. Ideation - 3-5 ideas will be selected after brainstorming and voting (5-10min) 3. Build build build - meet with your group to build and have fun (1.5hr) 4. Presentations and voting - Present your work and participate in some friendly competition (10min) 5. Closing and networking Don't miss out on this incredible opportunity to be part of something big! Mark your calendar, gather your tech gear, and join us bi-weekly in Flushing on Saturday from 4:00 PM to 6:00 PM. Let's build the future together! **Wanna get your gears turning before the big day? Here are some fun ways to prep:** * Git good at Git! 😉 Sharpen those version control skills: https://learngitbranching.js.org/ * Arm yourself with a trusty IDE. VSCode is a fan favorite if you're looking for suggestions! * Designers: Bring your favorite prototyping tools (Figma, Sketch, Adobe XD) * PMs: Brush up on your user story creation and team facilitation skills * Everyone: Let those creative juices flow! **Jot down some wild project ideas:** * No idea is too crazy! The sky's the limit! 🌈 * Just make sure the idea is clearly defined so you can show off something cool as a team when we're done. * It could be anything from a wacky concept to a working prototype. Or maybe you just want to dive into a new tech toy? Go for it! We hope to see you there! --- The address of the Tech Incubator is: CEP Hall #2 65-30 Kissena Blvd Flushing NY 11367 As a courtesy, kindly register with the Tech Incubator too (we're working on linking our systems, bear with us!): https://techincubatorqc.com/flushing-tech-meetup/ If you are driving and need parking, please stop at the main gate to get a temporary parking pass from the public safety.
Hybrid Event: Chao Zhang - Large-Scale Corporate Default Modeling
Tue, Nov 17, 11:00 PM**Please Note! Speaker Change:** IAQF & Thalesians Seminar Series: A Kernel Machine for Large-Scale Corporate Default Modeling. A Seminar by Chao Zhang 6:00 PM Seminar Begins 7:30 PM Reception Fordham University McNally Amphitheater 140 West 62nd Street New York, NY 10023 Hybrid Event Free Registration! For Virtual Attendees: Please email web@iaqf.org for the link. **Abstract:** We present a scalable kernel logistic regression framework for estimating forward-looking, real-world corporate default probabilities using features derived from financial variables and structural credit-model outputs. This kernel machine is used in the Bloomberg Corporate Default Risk Model (DRSK). The model learns a globally defined nonlinear log-odds function in a reproducing kernel Hilbert space. The chosen hybrid linear–Gaussian radial-basis-function kernel is universal and capable of approximating a broad class of nonlinear dynamics. Under standard conditions and an appropriate regularization scheme, the associated learning procedure is universally consistent, with prediction risk converging to the Bayes risk as the sample size increases. The application involves large-scale, highly imbalanced default data spanning multiple regions, sectors, and credit cycles. To address the computational cost of conventional kernel machine training, we combine majority-class down-sampling with selection-bias correction and select model complexity through cross-validation and Bayesian optimization. Empirical results demonstrate improved calibration and out-of-sample predictive performance relative to conventional logistic regression. The results show that universal kernel methods can be successfully deployed for large-scale, rare-event corporate default modeling. **Bio:** Chao Zhang is a Quantitative Researcher on Bloomberg’s Quant Risk Analytics team. His work focuses on the development of machine learning and quantitative models for a wide range of applications in finance and risk analytics, including credit, market, and climate risk. He earned his PhD in Mathematical Statistics from the University of California, Santa Barbara, where his research encompassed functional and distributional data analysis, as well as statistical and machine learning.
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