Faculty

Meet the Teams: NYU Tech Venture Workshop Summer 2024 Cohort

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We are excited to introduce the teams of the Summer 2024 Cohort of the NYU Tech Venture Workshop.

The Workshop is the first phase of the three-part NYU Tech Venture Program. Sponsored by the National Science Foundation, the Tech Venture Workshop (TVW) is a three half-day immersive program where NYU faculty and their PhD student/postdoc teams learn how to test the commercial potential of their research directly with customers and partners. 

Upon completing the workshop, teams may seek to apply to the NSF I-Corps and Tech Venture Accelerator programs, which collectively provide $100,000 in grant funding to support research commercialization efforts. For more details about the program and application process, attend our info sessions on 9/18 (Washington Square campus) or 9/25 (NYU Langone Health campus), and apply for the next Workshop cohort by 9/30.


4utonomy

4utonomy is a fully autonomous robotic solution designed for building and real estate management companies. By developing and customizing dual-purpose robots that function as both service and emergency response units, 4utonomy enhances safety and efficiency by significantly reducing response times and mitigating risks to first responders during emergencies.

Team: Aliasghar Arab (Tandon Faculty), Vikram Subramaniam (Tandon ‘25)


ChatSign

ChatSign is an AI-driven solution designed for deaf and mute individuals, facilitating communication with non-signers and enhancing their interaction with the world. The service addresses communication barriers, social isolation, and employment obstacles that lead to misunderstandings and limited access to services. ChatSign offers AI-powered sign language translation and production through software applications such as SignCall, SignChat, and SignAvatar, as well as hardware solutions like SignGlass. The initial target customers include individuals who are deaf or mute, educational institutions, and transit hubs, all benefiting from improved accessibility and communication.

Team: Yi Fang (Tandon Faculty), Yu Hao (Abu Dhabi ‘25), Shuaihang Yuan (Abu Dhabi ‘20)


Receptech Bio 

Receptech Bio is a cell-line based platform that detects active cytokine signaling linked to autoimmune diseases. It will be used to find small molecule inhibitors for specific cytokine signaling and will be expanded to include more immune receptors for similar purposes. The main customers are biotech and pharmaceutical companies. This platform addresses the issue that current treatments for autoimmune diseases are mostly expensive antibody-based therapies that require injections. There is a need for an easier way to identify oral small molecules that can effectively replace these antibody treatments.

Team: Yuelin Song, Alan Varghese (Grossman ‘26), Alara Tuncer


Emotional Valence Estimator using Respiration

The Emotional Valence Estimator predicts the pleasantness or unpleasantness of emotions using respiration measurements from a belt. It targets individuals who want to monitor their mood, particularly those with mental health issues. This solution addresses the problem of current mood tracking methods that rely on unreliable self-reporting, which often lacks timely information about negative emotions. By continuously tracking breathing patterns, it can provide insights into when users are feeling unpleasant and offer feedback to help them manage their emotions.

Team: Rose Faghih (Tandon Faculty), Saman Khazaei (Tandon ‘26), Revanth Reddy (Tandon ‘27)


EZ247

EZ247 is an AI-powered service platform that offers 24/7 high-quality customer service to support small businesses. Its initial target customers are taxi companies and commercial banks in the UAE. EZ247 addresses challenges such as high operational costs, limited availability, complex integrations, and manual processes by providing cost-effective, round-the-clock customer service, ensuring easy integration, and automating business operations. It aims to empower businesses, starting with a pilot in Abu Dhabi to enhance connections between people and local taxi companies, allowing end-users to easily access services while providers deliver more efficient support.

Team: Yi Fang (Tandon Faculty), Zhifei Li (Abu Dhabi ‘26), Shuaihang Yuan (Abu Dhabi ‘20), Dhurba Tripathi (Abu Dhabi ‘26)


Just Mothers

Just Mothers offers a user-friendly web application that provides curated, science-based, culturally responsive, high-quality health information to support various aspects of pregnancy, along with a client management platform for non-clinicians and researchers. Its initial target customers are primarily pregnant mothers, with secondary audiences including providers such as WIC, Community-Based Organizations, Medicaid, DOHMH, healthcare systems, and researchers. The service addresses the problem of limited availability of trusted, science-based, culturally responsive health content in an accessible format, catering to busy pregnant individuals who may have limited health literacy and English proficiency.

Team: Natasha Williams (Grossman Faculty), Mary Ann Sevick (Grossman Faculty)


MAARS

MAARS is an Audio and Emotion design taxonomy and research system targeting digital media, audio and emotion designers, developers, and researchers. It addresses the challenge of the absence of a standardized audio framework and research system, which complicates the process of conducting audio and emotion research. By establishing a structured approach, it enables more effective and consistent research in this area.

Team: Al Olsen (Steinhardt Faculty), Anna Zheng (Steinhardt ‘24)


ProViZiGen

ProViZiGen is a biocompatible protein-based hydrogel viscosupplementation for athletes with knee or joint injuries. It addresses the issue of needing multiple injections, which can be painful and may increase the risk of developing osteoarthritis. This solution aims to provide a more effective and less invasive treatment option for joint pain and injury recovery.

Team: Jin Kim Montclare (Tandon Faculty), Yudelca Ogando, Olayinka Ajumobi-obe


QubitMD

QubitMD is a quantum computing and AI-enabled drug discovery application being developed to assist pharmaceutical companies and research institutions. Its initial target customers are pharma companies and biotech researchers who face constant pressure to accelerate drug discovery while reducing costs and time. This application addresses the limitations of classical computation, long R&D periods, high costs associated with the drug discovery process, and the challenges posed by non-user-friendly software.

Team: Prabodh Panindre (Tandon Faculty), Chinmay Tompe (Tandon ‘23)


Tactile Navigation Tools (TNT) / uNav

Tactile Navigation Tools offers infrastructure-free wayfinding solutions for patients and users with disabilities, while also enabling businesses with employees who have disabilities to maximize their operational efficiency. By mapping the physical environment, the service trains AI to enhance employee productivity and customer engagement. Its initial target customers are R1 academic healthcare facilities in the NYC area. This solution addresses operational inefficiencies caused by patients with disabilities who may avoid healthcare, miss appointments, arrive late, or require employee assistance for directions. By improving navigation, the service aims to enhance patient access and streamline operations within healthcare facilities.

Team: John-Ross Rizzo, MD (Grossman/Tandon Faculty), Giles Hamilton-Fletcher, PhD, Van Krishnamoorthy, MD


Take a look at more past cohorts from the Tech Venture Workshop:

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