CTO and Co-founder at Absentia Labs
AI Researcher & Founder bridging the gap between Machine Learning and Biological Discovery.
I am the Co-founder and CTO of Absentia Labs, where we architect advanced AI systems to solve high-stakes challenges in healthcare. My work sits at the intersection of generative modeling and biotechnology, transforming how we understand and engineer complex biological systems.
Previously, as a Postdoctoral Researcher at MIT, I specialized in integrating machine learning with multi-omics and drug discovery pipelines. My journey began with a Ph.D. in Computer Engineering from the University of Denver, focusing on NLP and affective computing, preceded by foundational research at Sharif University of Technology.
I am driven by the mathematical principles that govern complex data, from the syntax of language to the machinery of life.
I worked as a senior AI researcher at Speechify, where I focused on developing state-of-the-art speech synthesis and natural language processing systems. My work involved leading research projects, and collaborating with cross-functional teams.
I was leading a team of AI scientists and software developers to develop a hybrid chatbot for Ryan, a virtual assistant for the company. The project involved using Blender model and AIML technologies to create a chatbot that could understand and respond to user queries in a natural way.
I worked as a junior software developer at Batis, where I was involved in developing web applications and software solutions for small businesses. My work included designing user interfaces, implementing business logic, and integrating with various APIs.
Focused on applying generative AI methods to problems in biotechnology, integrating machine learning with biological data, and developing new computational tools for understanding and engineering biological systems.
I published two papers in the ACM SIGCHI Conference on Artificial Intelligence.
I completed my master's degree in computer engineering with a focus on natural language processing. My thesis was on developing a novel approach to find temporal event in text.
"Multimodal Learning for Mapping the Genotype-Phenotype Dynamics"
Nature, 2024"The Dissipation Theory of Aging: A Quantitative Analysis Using a Cellular Aging Map"
Under review in Nature 2025"A Multi-head Transformer Architecture for Developing Empathetic Dialog Systems"
Presented in Applied Natural Language Processing 2020"RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis"
Accepted in Interspeech 2021Let's connect and discuss AI research, biotechnology, or potential collaborations.