AI, Biomedical Engineering, Natural Language Processing
Experience
Dec 2023 - Current
Post-Doctoral in Biomedical engineering
• Research on the applications of Large Language Models (LLMs) on single cell RNA and proteomics and other biological data
• Modeling the time evolution of cell differentiation by applications of Graph Neural Networks (GNN)
June 2022 - Nov 2023
AI Scientist
• Developing state-of-the-art text to speech models
• Working on Quotation Attribution task and developing models to automate it
June 2020 - June 2022
Natural Language Processing Engineer
• Topical language generation using Latent Dirichlet Allocation and GPT transformers. Controlling different aspects of language generation and simulating the style of given documents, more.
• Empathetic dialog system based on the state-of-the-art deep learning transformer language models, more.
• Common sense abduction language generation and inference using large language models and temporal reasoning, context filtering, and semantic entailment, more.
• Developing state-of-the-art speech models for male voice synthesis
2013 - 2014
.NET Developer
Developing a Camera Management System in .NET Framework
Education
2017- 2023
PhD in Computer Engineering, University of Denver
2012-2015
MSc in Computer Engineering, Sharif University of Technology
2007-2012
BSc in Computer Engineering, Shahid Beheshti Univeristy
About Me
I am a Postdoctoral Researcher at MIT, where I focus on the intriguing intersection of AI and biology. My research centers on analyzing and modeling omics data, leveraging complex dynamics and biophysics to uncover transformative insights that bridge AI, complex systems, and biology. Checkout my google scholar
Outside the lab, I’m passionate about sharing knowledge and enjoy teaching as a way to connect and inspire others. In my free time, you’ll often find me immersed in books, exploring nature on a hike, working out at the gym, or relaxing with a great movie.
Contact
- rohola.zandie@gmail.com
- hilbert-cantor.medium.com
- rohola@mit.edu