CV
Basics
| Name | Mehdi Yazdani-Jahromi |
| Label | AI Ph.D. Researcher |
| yazdani@ucf.edu | |
| Phone | (407) 810-4467 |
| Url | http://yazdanimehdi.com |
| Summary | AI Research Scientist and Ph.D. candidate specializing in computational drug discovery and machine learning, with proven expertise in developing novel architectures for Transformers and Graph Neural Networks. Led groundbreaking research at Johnson & Johnson, developing HELM, the first mRNA antibody language model. Published extensively in top-tier venues with focus on algorithmic fairness, drug-target interaction prediction and innovative AI methodologies. Demonstrated track record of translating complex research into practical applications, combining deep technical knowledge with strong collaborative abilities across academic and industry settings. Proficient in large-scale distributed systems and experienced in implementing production-ready AI solutions. |
Skills
| Programming Languages | |
| C++ | |
| Python | |
| C# | |
| Dart | |
| JavaScript | |
| SQL | |
| Solidity | |
| MATLAB |
| Python Packages | |
| Pytorch | |
| Numpy | |
| Pandas | |
| Keras | |
| TensorFlow | |
| Scikit-learn | |
| Scipy | |
| Networkx | |
| iGraph | |
| dgl | |
| matplotlib | |
| seaborn |
| JavaScript Frameworks | |
| Vue.js | |
| Electron | |
| NativeScript |
| Tools | |
| Kubernetes | |
| Docker | |
| Git | |
| HTML | |
| CSS | |
| LATEX | |
| AWS | |
| Distributed Training |
| Quantitative Research | |
| Machine Learning Methods | |
| Artificial Intelligence | |
| Large Language Models | |
| Generative AI | |
| Genomics Sequence Modeling | |
| Graph Neural Networks | |
| Convolutional Neural Networks | |
| Transformers | |
| Recurrent Neural Networks | |
| LSTMs | |
| Mathematical Optimization | |
| Mathematical Modeling |
Work
- 2021 - Present
Graduate Research Assistant
University of Central Florida
Researching drug target interaction, computer vision, and algorithmic fairness.
- 2024 - 2024
Data Science Intern, AI/ML for Drug Discovery
Johnson and Johnson
Computational Drug Discovery, Geometric Learning, Genomics Sequence Modeling, Distributed Training, Training Large Language Models, and Generative AI
- 2020 - 2020
Blockchain Developer
ZTech Team
Developing Blockchain applications on the Ethereum network using Solidity.
- 2020 - 2020
- 2019 - 2020
Founder and Chief Technology Officer
BerimCafe
Developed software for cafe and restaurant managements with Django and Flutter.
- 2019 - 2020
Founder and Chief Technology Officer
TAEPO
Created TOEFL Online Practice and Exam Platform using Django, Vue.js, and Electron.js.
- 2018 - 2019
Founder and Chief Technology Officer
MrZoro.ir
Developed an automated solution for reserving meals in university, a Django based project.
Education
Languages
| English | |
| Fluent |
| Farsi | |
| Native |
| French | |
| Elementary |
Publications
-
2025 BoKDiff: Best-of-K Diffusion Alignment for Target-Specific 3D Molecule Generation
Submitted to ISMB 2025
-
2024 HELM: Hierarchical Encoding for mRNA Language Modeling
ICLR 2024, Neurips 2024 Workshop on AI for New Drug Modalities
-
2024 Learning Fair Representations: Mitigating Statistical Dependencies
HCII conference 2023 Oral Presentation
-
2024 DeepDrugDomain: Easy-to-use drug-target affinity/interaction prediction package for architecture design
GitHub
A Python package for drug-target affinity/interaction prediction using deep learning methods.
-
2024 FragXsiteDTI: an interpretable transformer-based model for drug-target interaction prediction
Recomb 2024 Oral Presentation, Neurips 2023 Workshop on New Frontiers of AI for Drug Discovery and Development
-
2023 Controlling the misinformation diffusion in social media by the effect of different classes of agents
The Computational Social Science Society of the Americas Annual Conference
-
2023 Agent-Based Modeling of C. Difficile Spread in Hospitals: Assessing Contribution of High-Touch vs. Low-Touch Surfaces and Inoculations' Containment Impact
The Computational Social Science Society of the Americas Annual Conference
-
2023 Through a fair looking-glass: on mitigating bias in image datasets
AAAI 2023 Workshop on Representation Learning for Responsible Human-Centric AI and HCII conference 2023 Oral Presentation
-
2023 -
2022 -
2022
Awards
Certificates
| Machine Learning Specialization | ||
| Stanford University and DeepLearning.AI |
| Python Fundamentals | ||
| Tehran University | 2018 |
| Advanced Python | ||
| Maktabkhooneh | 2018 |
Courses
| 3D Computer Vision | |
| University of Central Florida - Grade: A | Fall 2022 |
| Advanced Artificial Intelligence | |
| University of Central Florida - Grade: A | Fall 2022 |
| Computer Architecture | |
| University of Central Florida - Grade: A | Fall 2022 |
| Complexity Theory | |
| University of Central Florida - Grade: A | Spring 2022 |
| Design and Analysis of Algorithms | |
| University of Central Florida - Grade: A | Spring 2022 |
| Computer Vision | |
| University of Central Florida - Grade: A | Fall 2021 |
| Mathematical Models in Deep Learning | |
| University of Central Florida - Grade: A | Fall 2021 |
| Experimental Design and Methods | |
| University of Central Florida - Grade: A | Spring 2021 |
References
| Dr. Ozlem Ozmen | |
| Assistant Professor at University of Central Florida |
| Dr. Mangal Prakash | |
| Senior Scientist, AI/ML at Johnson & Johnson (Janssen R&D) |
| Dr. Artem Moskalev | |
| Research Scientist at Johnson & Johnson (Janssen R&D) |
| Dr. Ivan Garibay | |
| Associate Professor at University of Central Florida |