Benjamin Liang Email & Phone Number

New York, United States

New York, United States

George Town, Ky

Core contributor developing BitMind's decentralized deepfake detection subnet on Bittensor.

Academic Mentorship & Professional Growth• Led workshops and collaborated with industry leading businesses on capital markets projects. Directed student publications and ventures. Within the lab’s first 3 weeks, guided 20+ NYU student-entrepreneurs to win $7,000 from pitching and hacking events.

Zug, Zug, Ch

Product Innovation• Working closely with stakeholders and designers, led LLM-driven startup tooling launch. Conducted A/B tests with 30 founders to enhance UX. Introduced NFT membership system for the HZN1 cohort.Strategic Partnerships & Growth• Worked with the Founders' Experience team on high-value collaborations with AWS, Google Cloud, Microsoft, and Notion, unlocking $150k in credits for the 300 projects and 100 providers in the NEAR ecosystem.

Product Management• Spearheaded product strategy to fill market voids, enhancing conversion rates for complex technologies. Led cross-functional collaboration for on-schedule releases.Alpha Product Feature Prioritization• Launched an AI CRM for DevRels, attracting 40k users by integrating LLM pipeline and Web3 features based on comprehensive market analysis.Business Development• Raised $40k through pitches and won competitions. Established 6 key partnerships, such as with Major League Hacking, leveraging insights from user research and expert interviews.

Brooklyn, Ny, Us

Computer Science Doctoral Candidate at NYU Tandon with academic publications in computer graphics (VR/AR) and human perception (visual, haptic).Probability-Modeled Stereoscopic Eye Movement in Mixed Reality (with NVIDIA)• Led NVIDIA collaboration to co-author a computational model predicting eye movement in mixed reality, enhancing VR/AR design. Oversaw design and execution of 12,000 psychophysical trials, optimizing visual performance and informing best practices in VR/AR display design and interface layout. (Unity3D, PyTorch).Information and Data Visualization Course Assistant• Developed tutorial notebooks and assignments on VR/AR and deep learning visualization, delivered lectures on graphics techniques: perspective projection, rasterization, antialiasing, occlusion. (Matplotlib, ggplot2, Tableau).

Washington, Dc, Us

Artemis Mission• Developed algorithms for immersive simulations to train astronauts in navigating lunar terrain. Incorporated eye tracking and head pose data to create infinite and collision-free motion in multiplayer VR, while ensuring consistent walking paths. In collaboration with Goddard Space Flight and Kennedy Space Centers.Project Alignment• Facilitated cross-functional meetings between the design team, grant stakeholders, andengineering/research team to ensure alignment and project success.

New York, Ny, Us

Audio in Mixed Reality• Simulated sine-sweep chirps convolved by rooms, recorded by a virtual mic external to the %rooms (Unity3D). Trained CNNs on audio Mel-spectrograms to infer room dimensions; Smart Wearable Bio-Tracker for TeleRehab & TeleMonitoring• Lead software engineer in a team of 20+ members. Directed Bluetooth Low Energy mobile app development for use with a wearable haptic armband (Arduino, React, JS).AI4CE Lab Assistant• Oversaw data collection for an egocentric computer vision dataset using multimodal RGB-D sensors. Processed 8TB+ of image data using shell scripting and SLURM on NYU's High Performance Cluster.Holodeck• Integrated client-host networking, data transfer using an MR app for user input (JS, TCP/UDP)

New York City, Ny, Us

NLP Pipeline• Reported to CTO on the design of a sentiment classification utility (PyTorch, scikit-learn, SSH) and evaluated the efficacy of natural language processing models for opinion mining of sales prospect communications and outreach based on metrics from confusion matrices, Type 1 and 2 errors, and ROC curves.}Sentiment Analysis• Evaluated various classifiers, documented results with different hyperparameters, and improved sentiment analysis accuracy from 75% to 82% by using Quadratic Discriminant Analysis. Results uploaded to the startup's Atlassian space for future reference.

New York, New York, Us

New York, Ny, Us

Brooklyn, Ny, Us

Doctor Of Philosophy - Phd, Computer Science

Bachelor Of Science - Bs, Computer Science

Education record