I'm building something with Ben in the spatial computing space.
This portfolio is probably outdated.
I've worked on
Open Source Deepfake Detection — BitMind (Founding ML Engineer)
Recommender Systems — Amazon (Content Applied and Research Science @ Audible)
Robotics Software — NASA (KSC Swamp Works Lab)
Computer Vision — Columbia University GUI + NYU AI4CE labs
XR Research — Memorial Sloan Kettering + NYU Immersive Computing Lab, and
Brain-Computer-Interfaces — Columbia University LIINC.
I was most recently at BitMind as a Founding ML Engineer and left as of July 2025 to work on a new project with my twin brother Ben. At BitMind I led app and API dev for image/video deepfake detection, including a free browser extension on the Chrome Web Store with 10k+ weekly users and our API with 200k+ weekly requests.
In the summer of 2023, I worked on Kapybara.ai, a public chat server insights and LLM deployment service for scaling user support in AI & Web3. I also worked on an ultrasound therapy project to explore a treatment for a hypertensive disorder, in collaboration with the Ultrasound and Elasticity Imaging Laboratory.
I like digital sci-fi and high fantasy art, video games, and
Publications + Showcases
EgoPAT3D: Egocentric Prediction of Action Target in 3D (CVPR 2022)
Egocentric RGB-D/IMU dataset and benchmark for target object manipulation in common household scenes.
Yiming Li*, Ziang Cao*, Andrew Liang, Benjamin Liang, Luoyao Chen, Hang Zhao, Chen Feng†
Reconstructing room scales with a single sound for augmented reality displays (Journal of Information Display 2022)
We use CNNs and simulate a single loudspeaker and stereo microphone, internal or external to a room to answer:
"Can one hear the size of a room?”.
Benjamin Liang, Andrew Liang, Iran Roman, Tomer Weiss, Budmonde Duinkharjav, Juan Pablo Bello, Qi Sun†
Simulating façade surface defect using generative adversarial networks for image synthesis (NYU Tandon UGSRP)
Poster colloquium and abstract publication in the engineering college's summer 2020 research program.
Andrew Liang, Zhuoya Shi, Semiha Ergan†
Cartographr — Augmented Reality World Creator
Industry practitioner showcase and accepted interactive technology
demo at the 6th International Conference of the Immersive Learning Research Network (iLRN 2020).
Joanna Liu, Rivelle Levine, Roxy Ho, Andrew Liang, Charles Chan
Prototypes
Augmented Reality Overlay for Visual Arts
Follow your favorite Youtube drawing tutorials with an app that projects videos onto paper! Scale/rotate/transform the video with simple hand gesture recognition.
Software: Unity3D, AR Foundation, AR Core, AR Kit, Manomotion Lite
SignAI - Learn Sign Language with Image Recognition
An accessible and intuitive way to learn sign language on the web.
Software: Node.js, IBM Watson, tensorflow
Collaborators: Caroline Barker, Ellie Haber, Utkarsh Prakash
Research
Columbia University Graphics and User Interfaces Lab + Laboratory for Intelligent Imaging and Neural Computing
Graduate Research Assistant
Fall 2022 - Jan 2023
Advised by Professor Steven K. Feiner and Professor Paul Sajda. Assisting PhD student Leo Li.
• Investigating use of the neural reorienting response for 3D environment navigation with a brain-computer head-mounted display
Immersive Computing Lab
Undergrad Research Assistant
Jan 2021 - May 2022
Advised by Professor Qi Sun.
• Worked on hand-gaze and audio-based spatial computing for AR/VR
Memorial Sloan Kettering Cancer Center
Research Intern
Summer 2022
Advised by Dr. Saad Nadeem In collaboration with Professor Qi Sun, PI of the NYU Immersive Computing Lab.
Medical Robotics and Interactive Intelligent
Technologies Laboratory
Volunteer Research Engineer
Fall 2021
Advised by Professor Farokh Atashzar
• Co-wrote a guide to use NYU's high performance computing cluster to assist the Smart Wearable in-home Bio-tracker for Home TeleRehab & Telemonitoring vertically integrated project team in training machine learning algorithms for classification tasks
AI4CE Lab
Undergrad Research Assistant
Sept 2020 - Jan 2022
Advised by Professor Chen Feng
• Co-authored EgoPAT3D: Egocentric Prediction of Action Target in 3D
(published in CVPR 2022)
• Led project ideation and formulation of data collection scheme
• Co-developed large-scale image preprocessing pipeline on high performance computing cluster for 8TB+ of footage
• Maintained project's github repository: https://ai4ce.github.io/EgoPAT3D/
(Flashing videography/imagery)
biLAB
Summer Research Intern
Sept 2020 - Jan 2022
• Authored abstract published in annual NYU Tandon UGSRP Abstracts
• Conducted literature review on simulating building surface defects with deep learning to automate urban façade surface inspections
• Wrote defect data augmentation program to improve performance of automated inspection using Deep Convolutional Generative Adversarial Networks and image fusion techniques (TensorFlow, Keras, OpenCV)
Future Reality Lab
Volunteer Research Engineer
Jan 2019 - Aug 2019
• Assisted development of augmented reality and human-robot-interaction tools for education as part of the Holodeck project (NSF award research
project #1626098).
Past Work
Art Work
Apartment 27, pen tablet in Adobe Photoshop
Cloudbase / cache in the sky, pen tablet in Adobe Photoshop
Marvel's DareDevil, acrylic on canvas
Desktop, acrylic on canvas
End of a stream, pen tablet in Adobe Photoshop