About

PhD student specializing in machine learning, deep learning, and bioinformatics. AWS Certified Machine Learning Engineer with 11+ peer-reviewed publications. Research focuses on computational biology, cross-modal learning, and foundation models. Former Senior Software Engineer with expertise in scalable software solutions.

Expected Graduation: August 2026
GPA: 3.78/4.0
Specialization: Machine Learning, Deep Learning, Bioinformatics

AWS Certified Machine Learning Engineer - Associate

Issued: December 2025 | Expires: December 2028

Validation Number: 7e96e2b84ed14dbfbc1139a12512f4b1

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Additional Certifications

Claude Code in Action

Issued: January 2026

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Research Interests

  • Machine Learning & Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Bioinformatics & Computational Biology
  • Foundation Models & Transfer Learning
  • Graph Neural Networks

Selected Publications

Cross-Modal Cell Cycle Phase Classification via Dual-Encoder Transfer Learning with Foundation Model Embeddings

Akhter, H. et al.

AAAI 2026 Workshop on AI for Scientific Research | December 2025 | Accepted

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Evolving Performance of GPT Models in Dermoscopic Diagnosis

Akhter, H. et al.

Journal of the American Academy of Dermatology (JAAD) | December 2025 | Published

Studying Oppressive Cityscapes of Bangladesh

Akhter, H., Saquib, N., Fatiha, D.

NeurIPS 2019 Workshop | arXiv:1812.10413 | Accepted

View Paper →

Matrix from Urine Stem Cells Boosts Tissue-Specific Stem Cell Mediated Functional Cartilage Reconstruction

Pei, M. et al. (Akhter, H. co-author)

Bioactive Materials, 23, 353-367 | 2023

View all publications on Google Scholar →

Professional Experience

Graduate Research Assistant

West Virginia University | Morgantown, WV

January 2021 - Present

  • Developed machine learning algorithms for bioinformatics data analysis
  • Built computational pipelines for RNA-Seq, ChIP-Seq, and ATAC-Seq processing
  • Led cross-modal cell cycle classification research (AAAI 2026)
  • Contributed to 11+ peer-reviewed publications

Senior Software Engineer

Wipro Limited | Bangladesh

July 2019 - May 2020

  • Led scalable software development projects
  • Improved data processing speed by 25% through API optimization
  • Developed mobile apps and backend systems

Software Scientist (Remote)

Third Space Lab, University of Toronto | Canada (Remote)

April 2018 - June 2019

  • Designed computational research applications
  • Collaborated with academic research teams

Technical Skills

Programming Languages

Python, Java, R, C, C++, SQL, JavaScript

ML/AI Frameworks

PyTorch, TensorFlow, Scikit-Learn

Generative AI & LLMs

Large Language Models, Generative AI, Retrieval Augmented Generation (RAG), LangChain, Multi-Agent Systems, LoRA/QLoRA

Cloud & DevOps

AWS (SageMaker, EC2, S3, Lambda), Docker, Linux

Bioinformatics

Bulk RNA-Seq, ATAC-Seq, ChIP-Seq, Single-Cell RNA-Seq, Single-Cell ATAC-Seq, Single-Cell Multiomics, Statistical Analysis

Tools

Git, Jupyter, Pandas, NumPy, Data Visualization

Education

Doctor of Philosophy in Computer Science

West Virginia University | Morgantown, WV

Expected Graduation: August 2026 | GPA: 3.78/4.0

Specialization: Machine Learning, Deep Learning, Bioinformatics

Bachelor of Science in Computer Science and Engineering

Stamford University | Bangladesh

Graduation: September 2014 | GPA: 3.86/4.0

Relevant Coursework

Advanced Data Mining | Big Data Engineering | Applied Neural Networks | Deep Learning | Computer Vision | Natural Language Processing | Advanced Algorithm Analysis | String Algorithms | Pattern Recognition