Mohammad Esfandiyari
PharmD Candidate
Mohammad Esfandiyari
PharmD Candidate

About Me


I am a final-year PharmD candidate at Tehran Medical Sciences, Islamic Azad University, with expected graduation in October 2026. My research background combines experimental pharmaceutical science, human dermal fibroblast biology, computational pharmacology, and bioinformatics. Alongside my wet-lab work, I have independently developed Python-based workflows for network pharmacology, molecular docking interpretation, and biomedical data analysis.

My academic path has gradually shaped my interest in connecting pharmacy with computational and AI-assisted methods. I am particularly interested in how pharmacists can use digital tools, data analysis, and trustworthy AI to answer clinically relevant pharmaceutical questions, improve medication guidance, support medication safety, and strengthen evidence-based healthcare decision-making.


Journal Articles
+ 0
Books
0
Conference Papers
0
GPA
0 /20

Pharmacy
َAI in Pharmacy
Dermal Fibroblasts
Skin Aging
Network Pharmacology
Bioinformatics
Regenerative Medicine

Skills


Technical Skills

60%

Python & Machine Learning

90%

Network Pharmacology & Bioinformatics

80%

Wet-Lab Techniques (Cell Culture, qPCR, MTT)

Research Skills

90%

Scientific Writing & Publishing

90%

AI-Assisted Research & Web Development

80%

Project Management & Coordination


Education


Doctor of Pharmacy (PharmD)

Tehran Medical Sciences, Islamic Azad University, Tehran, Iran · 2020 – 2026

In Progress GPA: 16.1 / 20

Thesis Title: “Synergistic Effect Study of Magnesium Ascorbyl Phosphate (MAP) on the Quality of Polydeoxyribonucleotide (PDRN) Effects on Human Dermal Fibroblast (HDF) Proliferation and Vitality”

Design: Four-group in vitro comparison (control, MAP, PDRN, MAP+PDRN combination) in primary human dermal fibroblasts. Outcome measures included cell viability/proliferation (MTT) and gene expression (COL1A1, MKI67 by qPCR).

Duration & Role: Approximately one year. Independently conducted experimental design, cell culture, MTT viability assays, data analysis, and manuscript preparation; qPCR was performed with the technical assistance of the laboratory manager, under the supervision of Dr. Hamid Reza Ahmadi Ashtiani.

Status: Single-agent (MAP, PDRN) findings are published; combination-group results are in preparation, supported by a bioinformatics/network-pharmacology enrichment analysis.


Journal Articles


Akaberi SM, Esfandiyari M, Ahmadi Ashtiani HR.

Journal of Cosmetic Dermatology · 2026 · 25:e70987

Second Author

View Article →

Vahdat Khajeh Pasha A, Esfandiyari M, Parnian A, Mahboubi-Rabbani M, Bayanati M.

Cancer Reports · 2026 · 9:e70441

View Article →

Second Author · Corresponding Author

Esfandiyari M, Ahmadi Ashtiani HR, Rastegar H, Hedayati M.

Journal of Dermatology and Cosmetic · 2026 · In Press

View Article →

First Author

Esfandiyari M, Ahmadi Ashtiani HR.

Journal of Skin and Stem Cell · 2025 · 12(4):e163798

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First Author


Manuscripts Under Review


Esfandiyari M, Vahdat Khajeh Pasha A, Ahmadi Ashtiani HR.

Targeting a Q1 journal

Under Review

First Author

Esfandiyari M, Vahdat Khajeh Pasha A, Ahmadi Ashtiani HR.

Targeting a Q2 journal

Under Review

First Author

Vahdat Khajeh Pasha A, Esfandiyari M, Mirhassani RS, Abdolghaffari AH.

Targeting a Q2 journal

Under Review

Second Author

Peer Reviewer — Journal of Public Health and Community Medicine (2026)


Books


Ahmadi Ashtiani HR, Esfandiyari M, Azadbakht A.

Dr. Ahmadi Publications · 2025 · ISBN 978-622-93030-5-4

View on Zenodo →

Second Author


In Press Books


Ahmadi Ashtiani HR, Esfandiyari M, Rastegar H, et al.

Reference Textbook · 2026

In Press

Second Author

Ahmadi Ashtiani HR, Ashtari F, Esfandiyari M, Pourahmadi A.

2026

In Press

Third Author


Conference Presentations


Oral

Argan Oil in Cosmetic Formulations: Bioactivity and Sustainability Considerations

10th Int’l Conference on Agricultural Sciences, Medicinal Plants and Traditional Medicine · Georgia · March 2026

Oral

Artificial Intelligence (AI) in Skin Fibroblast Research: Revolutionizing Drug and Cosmetic Development

Int’l Conference on Medicine and Artificial Intelligence in Health Improvement · Germany · August 2025

Oral & Poster

Mechanistic Insight into the Role of Superoxide Dismutase in Skin Aging: A Novel Approach for Cosmeceutical Application

8th International Congress on BioMedicine (ICB2024) · November 2024

Poster

Anti-Aging and Dermatological Benefits of Grape Seed Oil: Insights from Traditional Use to Modern

9th Int’l Conference on Agricultural Sciences, Medicinal Plants and Traditional Medicine · Georgia · August 2025

Poster

A Comparative Mechanistic Review of Retinol in Anti-Aging Skincare

12th Int’l Conference on Applied Research in Basic Sciences, Engineering and Technology · Georgia · August 2025

Poster

AUNP-12 Peptide Antagonist: Mechanisms and Applications in Immune Checkpoint Blockade and Cancer Therapy

6th Conference on Proteins and Peptides Science & Technology · Iran · November 2025

Poster

Anti-Ageing Effects of Rosa Canina (Rose Hip) Extract in Topical Application: A Biochemical and Pharmacological Evaluation

7th Int’l Conference on Agricultural Sciences, Medicinal Plants and Traditional Medicine · Georgia · September 2024

Poster

Review and Applications of Borage Oil in Specialized Skin and Hair Products

8th International Congress on BioMedicine (ICB2024) · November 2024


Computational Projects


Network Pharmacology Pipeline for MAP–PDRN Synergy in Human Dermal Fibroblasts

A modular, object-oriented Python pipeline identifying candidate synergistic hub genes through three-way set intersection, with automated Venn-diagram visualization and STRING-ready export.

Python Pandas Matplotlib Network Pharmacology

Network Proximity & Module Separation Engine for Drug-Combination Prediction

A full-interactome network-proximity analysis CLI applying the Menche/Guney/Cheng framework to classify gene-module relationships on the complete human STRING interactome (~19,000 proteins), with degree-preserving permutation testing.

Python NetworkX NumPy STRING Database