Research Interest
I work at the intersection of artificial intelligence and pathology, focusing on
building models that help interpret histology slides and extract meaningful patterns from tissue samples.
My work involves developing training pipelines, designing practical AI workflows for researchers,
and exploring new ways deep learning can support biological discovery.
Current Research: LungInsight
LungInsight aims to improve how researchers assess lung injury in preclinical models of Acute Lung Injury (ALI). We are developing easy-to-use AI tools that can analyze histological images more quickly, consistently, and accurately than current manual methods. By reducing bias and adding clear, explainable outputs, our approach helps standardize image evaluation across labs. Ultimately, LungInsight supports faster, more reliable research that can deepen our understanding of lung diseases and help guide new treatments.
Explore LungInsightResearch Experience
Research Assistant — Mer Lab
Supervised by: Dr. Arvind Mer
- Text-Mining Feature Selection for anticancer drug-response prediction
- Research in machine learning for drug discovery and biological data analysis
May 2023 – Present
Research Assistant — IPM: Institute for Research in Fundamental Sciences
Supervised by:
Dara Rahmati,
Amirhosein Hadian
- Estimating drift–diffusion model parameters using deep learning
- Machine Learning Textbook: Co-authoring chapters on dimensionality reduction & feature selection
- Hardware acceleration of Bio-SFA & Bio-NICA neural models
- Designed a new distributed algorithm for the Minimum Dominating Set problem
Aug 2020 – Jul 2024
Research Assistant & Developer — CMP Lab
Supervised by:
Jamal Amani Rad,
Amirhosein Hadian
- Developed behavioral & cognitive science research tasks:
- Motion Discriminator Task
- Stereotypical Job Beliefs Task
- Temporal Bisection Task
- Wisconsin Card Sorting Task
Jan 2021 – 2023