Mansoor Ahmed

Computer Science Graduate Student · Georgia State University / Georgia Tech

I am a graduate student in Computer Science at Georgia State University (joint with Georgia Tech), where I am advised by Prof. Murray Patterson. My research focuses on generative ML for antibody design. I develop ML methods, such as graph neural networks, flow matching, diffusion models, and protein language models that condition on target antigens to design therapeutic antibodies. I also recently completed a research fellowship at UCLA's LUNE Lab under Prof. Jennifer Wilson.

Previously, I worked as a research assistant for one year at the Data Analytics lab at LUMS, Pakistan where I developed graph and Physics-based methods for antigen-antibody interaction and preprocessing pipelines for multi-modal MRI and trained custom models for neurological disorders detection. Prior to that, I worked as a research assistant for one year at the Smart Data Systems & Applications (SDSA) lab at LUMS, where I developed the software and computer vision models for Vending Central that is now a leading vending company in Pakistan.

Research Interests: Generative models for protein design, equivariant & geometric deep learning, protein language models, antibody engineering, computational structural biology

Mansoor Ahmed

Publications/Preprints

AgForce Enables Antigen-Conditioned Generative Antibody Design

Mansoor Ahmed, Murray Patterson

Preprint, 2026

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning

Mansoor Ahmed, Huirong Chai, Haoxin Wang, Hemanth Venkateswara, Murray Patterson

Preprint, 2026

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation

Mansoor Ahmed, Sujin Lee, Umar Khayaz, Murray Patterson

Preprint, 2026

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning

Mansoor Ahmed, Spencer VonBank, Nadeem Taj, Sujin Lee, Naila Jan, Murray Patterson

Preprint, 2026

CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design

Mansoor Ahmed, Nadeem Taj, Imdad Ullah Khan, Hemanth Venkateswara, Murray Patterson

ICLR 2026 GEM Workshop

Improved Graph-Based Antibody-Aware Epitope Prediction with Protein Language Model Embeddings

Mansoor Ahmed, Sarwan Ali, Avais Jan, Imdad Ullah Khan, Murray Patterson

ICCABS 2025 · Springer LNBI

Robust Brain Age Estimation via Regression Models and MRI-derived Features

Mansoor Ahmed, Usama Sardar, Sarwan Ali, Shafiq Alam, Murray Patterson, Imdad Ullah Khan

ICCCI 2023 · Springer CCIS

Teaching

CSC 8850 — Advanced Machine Learning, GSU [Course Page]

Graduate TA · Spring 2025, Fall 2025 · Prof. Sergey Plis

CS 3210 — Computer Organization & Programming, GSU

Graduate TA · Summer 2025, Spring 2026

CSC 8713 — Spatial and Scientific Databases, GSU

Graduate TA · Fall 2024

EE 212 — Mathematical Foundations for Machine Learning, LUMS [Course Page]

Teaching Assistant · Fall 2022 · Prof. Zubair Khalid

Honors & Service

Fellowships & Awards

  • Molecular Basis for Disease (MBD) Fellowship, GSU 2025 – present
  • Warren Alpert Computational Biology & AI Network Fellow, UCLA 2025 – 2026
  • Computational Genomics Summer Institute (CGSI), UCLA 2025
  • Summer School in Biomedical Engineering, Max Planck / TU Ilmenau 2023
  • HEC Merit Scholarship (fully funded BSc EE), Pakistan 2017 – 2021
  • Balochistan Educational Endowment Fund 2015 – 2017

Reviewing & Service

  • ICML GenBio Workshop 2026
  • ISBRA 2025, 2026
  • ICCABS 2025, 2026
  • PeerJ Computer Science 2025