Arif Hossin

PhD Candidate

310 Bryant Ave

Cincinnati, OH, 45220, United States

Email: arif.hossin@hotmail.com

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Education

  • PhD Student in Computational Biochemistry

    University of Cincinnati, USA

    August 2022-Present

  • Master of Pharmacy (M.Pharm)

    Khulna University, Bangladesh

    January 2013 - June 2014

  • Bachelor of Pharmacy (B.Pharm)

    Khulna University, Bangladesh

    May 2008 - June 2012

Experience

  • Graduate Research Assistant

    University of Cincinnati, USA

    January 2024 - Present

    • Performed all-atom molecular dynamics simulations using GROMACS and Python-based workflows to investigate force-mediated disaggregation of amorphous protein aggregates derived from the Titin I27 domain, revealing how pulling direction and random pulling-site selection influence disaggregation efficiency and mechanical breakdown pathways, and exploring which structural features of the aggregate contribute to resistance during translocation through the ClpB central pore.
    • Conducted all-atom molecular dynamics simulations of the wild-type (WT) STS-1 protein and two mutant variants to investigate the effects of point mutations on the dimer interface. Performed detailed analyses of structural stability, flexibility, and interactions at the dimer interface, as well as key dynamic properties and allosteric communication pathways, to characterize mutation-induced changes in protein behavior and function.
    • Performing all-atom molecular dynamics simulations using LAMMPS and Python-based workflows to investigate pristine and graphene-reinforced EMDA–TMA vitrimers, gaining molecular-level insights into dynamic covalent bond exchange, thermal transport, and network rearrangement, and examining how nanofillers affect self-healing efficiency, mechanical recovery, and polymer network dynamics for sustainable, high-performance polymer design.

  • Graduate Teaching Assistant

    University of Cincinnati, USA

    August 2022 - December 2023

    • Teaching Assistant for General Chemistry laboratory and recitation courses; provided instruction, supervised experiments, and assisted students with problem-solving.
    • Grader for Physical Chemistry, evaluating assignments and exams with accuracy and consistency.

  • Sr. Executive, Production, Small Volume Parenteral Unit

    Square Pharmaceuticals Limited, Bangladesh

    April 2016 - August 2022

    • Collaborated with cross-functional teams (R&D, Validation, QA, Engineering) on new product development, process validation, and product launch activities and ANDA submissions.
    • Supervised and led a team of executives and junior colleagues to ensure smooth and efficient production operations.
    • Supported and successfully faced audits from global regulatory authorities (US-FDA, UK-MHRA, TGA) while maintaining compliance with cGMP standard.

  • Executive, Quality Assurance

    Square Pharmaceuticals Limited, Bangladesh

    June 2014 - March 2016

    • Ensure the manufacturing and packaging operation is operating in full compliance with cGMP, SOP, safety and established standards.
    • Technical review of BMR, BPR, Process Validation Protocol, and Process Validation Report, SOP, and EOP before approval.

  • Other Experience

    • Hands-on experience in drug discovery and predictive modeling through Udemy course projects, applying QSAR and Graph Neural Networks on small datasets. Developed Python ML pipelines for molecular property prediction and bioinformatics applications, including DNA sequence analysis, RNA-Seq (NGS), and disease classification.
    • Hands-on experience with TensorFlow through course-based projects (Udemy), including building, training, and evaluating neural networks for classification and representation learning tasks using Python.
    • Practical training in machine learning methods including linear and logistic regression, classification, clustering (k-means, hierarchical), dimensionality reduction (PCA), tree-based models (Random Forest, XGBoost), clustering, and model evaluation techniques, as part of a PhD-level data science course, with hands-on implementation using Python and scikit-learn.
    • Hands-on experience building a personal RAG-based AI chatbot through a Udemy course, leveraging LLMs, LangChain, LangGraph, ElevenLabs, Agentic RAG, and MCP for end-to-end conversational AI workflows.
    • Hands-on experience building FastAPI applications in local development environments through course-based projects (Udemy), including creating REST endpoints, routing, request/response handling, and testing API workflows.
    • Developed Python-based web scraping scripts (BeautifulSoup, Selenium, Scrapy) to extract and clean large datasets.
    • Designed, customized, and implemented HTML, CSS, PHP, and jQuery to build responsive, SEO-friendly, client-specific WordPress themes.

Honors and Awards

Doctoral Enhancement fellowships for the Spring 2026 semester for research accomplishments to date and future research potential

Procter & Gamble Poster Award, for delivering a concise and innovative research talk during the Oesper Symposium Poster Session (2025)

Henry Hochstetter Prize, for excellence as a Graduate Teaching Assistant (2023)

Skills

Certificates

The Complete Agentic AI Engineering Course (2025) See link

Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith See link

50 Hrs Big Data Mastery: PySpark, AWS, Scala & Data Scraping See link

Python for Data Science and Machine Learning Bootcamp See link

Extract Data - Output Data in Excel & PostgreSQL Database See link

100 Days of Code: The Complete Python Pro Bootcam See link

Python Essentials 1 See link

Machine Learning with Python - Level 1 See link

Introduction to Data Science See link

Artificial Intelligence Fundamentals See link

AI Fundamentals with IBM SkillsBuild See link

Build Your Own Chatbot - Level 1 See link