Faculty & Researchers

Meet the Teams: NYU Tech Venture Workshop Summer 2026 Cohort

We are thrilled to introduce the Summer 2026 cohort of the NYU Tech Venture Workshop. This cohort brings together 15 innovative teams exploring a diverse range of technologies to address real-world challenges.

About the Tech Venture Workshop

The Tech Venture Workshop (TVW) is the first phase of the three-part NYU Tech Venture Program. Sponsored by the National Science Foundation (NSF-IIP-2048498), TVW is a three half-day intensive program where NYU faculty and their PhD/postdoc teams explore the commercial potential of their research by engaging with customers and partners. Completing the workshop is the first step toward applying to the NSF I-Corps and Tech Venture Accelerator programs, which offer $100,000+ in grant funding to support research commercialization.


ARCH

A spatial audio archive preserving immersive recordings, impulse responses, and research datasets across multiple 3D audio formats, serving researchers, educators, and audio practitioners worldwide. By providing standardized, accessible resources for 3D audio research and training, the platform accelerates innovation in immersive audio while establishing a permanent repository for future scholarship.

Team:

  • Agnieszka Roginska (Faculty/PI, Steinhardt)
  • Parichat Songmuang (PhD Student, Steinhardt ‘28)
  • Yujin Kim (Masters, Steinhardt ‘26)
  • Joel Joshua Bobby (Masters, Steinhardt ‘26)

AxiomLoop

An AI-driven design automation system that converts high-fidelity chip simulators into autonomous design loops, helping AI-hardware startups explore hardware-software trade-offs faster and more cost-effectively. By preserving design constraints and auditability while accelerating design space exploration, the platform reduces pre-tape-out DSE costs and accelerates time-to-market for edge AI chips.

Team:

  • Ozgur Sinanoglu (Faculty/PI, Abu Dhabi)
  • Minghao Shao (PhD Student, Tandon ‘27)
  • Zeng Wang (PhD Student, Tandon ‘27)
  • Weimin Fu (PhD Student, Non-NYU)

FertAI

An AI operating system for fertility clinics that automates embryo monitoring, assessment, and selection for transfer or cryopreservation, enabling embryologists to make consistent, data-driven decisions with reduced manual workload. The platform improves both clinical outcomes and operational efficiency for reproductive endocrinology teams while freeing specialists to focus on personalized patient care.

Team:

  • Farah Shamout (Faculty/PI, Abu Dhabi)
  • Dmytro Zhylko (PhD Student, Tandon ‘27)
  • Yousef Al-Jazzazi (Undergrad, Abu Dhabi ‘26)

iCADD

A target-centric high-throughput screening platform for discovering molecular glue degraders, a novel class of therapeutics targeting previously "undruggable" disease proteins. By expanding the scope of addressable drug targets, the solution enables pharmaceutical and biotech companies to develop first-in-class treatments for diseases currently lacking effective therapies.

Team:

  • Michele Pagano (Faculty/PI, Langone/Grossman)
  • Muzammal Hussain (Postdoc, Langone/Grossman)

JGM Clinical

An LLM-powered platform that automates feature extraction and disease risk stratification for kidney and autoimmune biopsies, delivering structured, actionable diagnostic data to pathologists and clinicians at the point of care. By eliminating manual physician abstraction and enabling clinical trial matching, the solution improves diagnostic accuracy and accelerates patient enrollment in relevant trials.

Team:

  • Abhimanyu Amarnani (Faculty/PI, Langone/Grossman)
  • H. Michael Belmont (Faculty, Langone/Grossman)
  • David Fenyo (Faculty, Langone/Grossman)
  • Shana Coley (Faculty, Langone/Grossman)
  • Fabian Christopher (Staff, Langone/Grossman)

MAGMA

An agentic AI system enabling clinicians to design, build, and validate custom machine learning models end-to-end without coding or AI expertise, lowering barriers to AI adoption in clinical settings. The platform serves healthcare providers seeking to develop tailored diagnostic and patient-care tools that address their institution-specific needs.

Team:

  • Farah Shamout (Faculty/PI, Abu Dhabi)
  • Mouath Abu Daoud (Staff, Abu Dhabi)
  • Yousef Al-Jazzazi (Undergrad, Abu Dhabi ‘26)
  • Mohammad Amjed (Undergrad, Abu Dhabi ‘26)

pacman filtration

A scalable fluid-dynamics-based particle filtration technology for nanometer-to-micron scale separation with tunable selectivity and efficient recovery, addressing a need across pharmaceutical, semiconductor, and water sectors. The system offers significant advantages over conventional filtration by enabling high throughput with minimal material loss.

Team:

  • Stefano Sacanna (Faculty/PI, GSAS/FAS)
  • Sarah Chong (PhD Student, GSAS/FAS ‘26)
  • Zuoxuan Zhu (PhD Student, GSAS/FAS ‘29)

PancreaSecure

A pancreatic anastomotic leak detection and prevention platform addressing a critical post-surgical complication that occurs in 25% of pancreatic resections and carries significant cost and morbidity burden. By reducing leak rates by ~50%, the solution enters a $300M+ global market and transforms outcomes for cancer patients undergoing curative surgery.

Team:

  • Brock Hewitt (Faculty/PI, Langone/Grossman)
  • David Willett (Masters, Langone/Grossman ‘28)
  • Jonah Levine (Masters, Langone/Grossman ‘27)
  • Margaux Powell (Staff, Langone/Grossman)
  • Praveen Satarasinghe (Staff, Langone/Grossman)

PlateletOmics

A multi-modal platelet RNA and protein diagnostic platform that predicts individual cardiovascular risk and guides personalized antiplatelet therapy selection, enabling pharmaceutical companies to identify therapy-responsive patients and enrich clinical trials. This first dynamic, response-based approach to CV risk stratification improves patient outcomes while accelerating drug approval timelines.

Team:

  • Jeffrey Berger (Faculty/PI, Langone/Grossman)
  • Matthew Muller (PhD Student, Tandon ‘26)

Selion

A modular electrochemical platform for selective lithium extraction from e-waste and geothermal brines, reducing reliance on imported critical minerals for domestic battery manufacturing. The solution achieves higher lithium purity with lower chemical cost and environmental impact, serving a critical supply-chain need for the rapidly growing EV battery industry.

Team:

  • Andre Taylor (Faculty/PI, Tandon)
  • Sunghyun Ko (Postdoc, Tandon)
  • Stephen Maclean (Postdoc, Tandon)
  • Seth McPherson (PhD Student, Tandon ‘26)
  • Yaxin Shen (PhD Student, Tandon ‘28)

TheraFeet

A multimodal AR ecosystem for at-home rehabilitation that combines a reusable wearable device with an application for remote therapy monitoring and active recovery guidance, enabling clinical-grade care outside traditional clinic settings. By reducing upfront infrastructure costs and enabling continuous monitoring, the platform expands access to evidence-based rehabilitation for patients in underserved areas.

Team:

  • Smita Rao (Faculty/PI, Steinhardt)
  • Ashwik Manoj Tatineni (Masters, Tandon ‘26)
  • Aidan Fitzpatrick (Masters, Tandon ‘26)
  • Dhruv Gadkari (Masters, Tandon ‘26)
  • Sai Pranay Reddy Jonnala (Masters, Tandon ‘26)

TinyGut Guard

A milk-derived extracellular vesicle therapeutic containing inflammation-protective microRNAs, designed to be added to infant formula and restore bioactivity found in breast milk. The solution targets preterm infants at risk of necrotizing enterocolitis and other inflammation-related gut injuries, offering a simple, scalable intervention to reduce morbidity and mortality in vulnerable neonatal populations.

Team:

  • Nazeeh Hanna (Faculty/PI, Langone/Grossman)
  • Xinhua Lin (Faculty, Langone/Grossman)
  • Rahanna Khan (PhD Student, GSAS ‘26)

VectorForge Bio

Programmable protein-based delivery vehicles engineered for genetic medicines, offering safer, tissue-targeted cargo delivery beyond traditional AAV and lipid nanoparticle approaches. The platform provides gene therapy, mRNA, and cell therapy companies with superior specificity and payload flexibility for next-generation therapeutic delivery.

Team:

  • Shunzhi Wang (Faculty/PI, Langone/Grossman)
  • Carlos Coito (Faculty, Langone/Grossman)

Join Us
To learn more about the program and application process, come chat with us in coaching.

If you would like to learn more about some of the teams that participated in prior Tech Venture Workshops, check out our Blog:

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