Comprehensive Exam Score: 18.9
Thesis: Utilizing Artificial Intelligence (Machine Learning / Deep Learning) and Bioinformatics for Prognosis Prediction and Identification of Inhibitors in Colorectal Liver Metastasis (CLM).
Focus: Multi-omics integration, bioinformatics pipelines, AI-driven drug repurposing, machine learning, computational drug design and molecular docking, QSAR & Toxicity Prediction, In Vitro Assays: qRT-PCR, MTT Assay & Flow Cytometry.
Thesis Score: 20/20
Top Researcher in Thesis Excellence
Talented Student
Based on the book Deep Learning with Python by Francois Chollet 2nd Edition
4 hours
Link: eseminar.tv/wb145154
Based on the Book Deep Learning with Python by Francois Chollet 2nd Edition
2 hours
Link: eseminar.tv/wb145255
3 hours
Link: mktb.me/jw10/
2 hours
Link: mktb.me/smt0/
2 hours
Link: eseminar.tv/wb144850
2 hours
Link: eseminar.tv/wb122936
4 hours
Link: eseminar.tv/wb144658
2 hours
Link: eseminar.tv/wb133367
1 hour
Link: eseminar.tv/wb125984
2 hours
2 hours
2 hours
Contributors: Dr. Mitra Heydari Nasrabadi, Dr. Zarrin Minuchehr, Dr. Somayeh Ehtesham, Dr. Bijan Bambai
The research was conducted in a comprehensive manner using a wide range of bioinformatics tools, drug design, and artificial intelligence approaches. The primary objectives were as follows:
Courses Taught:
o Molecular Biology
o Molecular Genetics
o Bioinformatics
o Cell Biology
o Laboratory Techniques in Molecular Biology
Institution: Bioinformatics Academy of Iran & Biologists Students Union
Institution: Royan Institute
Institution: Stem Cell and Development Technologies Headquarters
Institution: Union of Iranian Biology Scientific Associations
Institution: Iranian Genetics Society
Institution: Iranian Genetics Society & Iranian Genetics Foundation
Institution: Royan Institute
Institution: Iranian Biotechnology Society
Islamic Azad University
Delivered in English
7th International Biomedicine Congress
1st International and 9th National Biotechnology Conference
1st International and 9th National Biotechnology Conference
1st International and 13th National Genetics Congress
Publisher: Biotechnology Publications
Translated into Persian
Institution: Union of Iranian Biologists in cooperation with Iranian Academy of Regenerative Medicine
Total Hours: 104 hours (52 sessions)
32 hours: Cell Therapy & Regenerative Medicine
22 hours: Immunotherapy
24 hours: Tissue Engineering
26 hours: Gene Therapy
Link : coursera.org/share/4e52ff9b1772dff421484376a77c8566
Institution: IBM (Coursera)
o Instructor: Joseph Santarcangelo
o Duration: 20 hours
o Grade Achieved: 80%
Link : coursera.org/share/43f29d95830eebcc2be08a5d54fb9ba7
Institution: DeepLearning.AI & Stanford University (Coursera)
o Instructor: Andrew Ng
o Duration: 33 hours
o Grade Achieved: 99.66%
Institution: The Biologists Union of Iran
Sessions: 63
Issued by: Technical and Vocational College of Shahid Mehran, Rasht — Iran Technical & Vocational Training Organization
Duration: 20 hours
Certificate Number: 240/30/23/195
Institution: Jundishapur University, Ahvaz
Duration: 26 hours
Institution: Iranian Biotechnology Society & National Molecular Medicine Network
Institution: National Institute of Genetic Engineering and Biotechnology (NIGEB) & USERN
Techniques: PCR, Electrophoresis, DNA Extraction, and Cloning
Institution: National Institute of Genetic Engineering and Biotechnology (NIGEB)
Duration: 16 hours
Institution: Ministry of Science, Research, and Technology, University of Qom
Duration: 130 hours
Score: 84/100
Institution: University of Tehran Bioinformatics Camp
Certification: OxfordCert Universal Academy (Registration Number: LMZ98910405256)
Duration: 6 hours
Institution: Iranian Bioinformatics Society
Institution: Gonabad University of Medical Sciences
Institution: University of Yazd
Institution: University of Tehran Bioinformatics Camp
Certification: OxfordCert Universal Academy (Registration Number: LMZ9891040526)
Duration: 6 hours
Institution: Iranian Biology Association
Institution: University of Yazd
Institution: Dr. Farhood Foundation & Union of Iranian Biology Associations
Institution: University of Tehran Bioinformatics Camp
Certification: OxfordCert Universal Academy (Registration Number: LMZ98910405218)
Duration: 6 hours
Institution: Royan Institute
Duration: 40 hours
Institution: University of Tehran Life Sciences Student Association
Institution: Pasteur Institute of Iran & National Molecular Medicine Network
Institution: Iranian Genetics Society
Institution: University of Yazd
Institution: Kharazmi University
Institution: Iranian Genetics Society
Institution: Iranian Genetics Society
Institution: Union of Iranian Biology Scientific Associations
Institution: Pasteur Institute of Iran & National Molecular Medicine Network
Institution: University of Yazd
Institution: Iranian Biotechnology Society
Institution: Iranian Genetics Society
Institution: Shiraz University of Medical Sciences Research Association
Duration: 10 hours
Institution: Sari University Scientific Association of Plant Genetics
Duration: 6 hours
Institution: Razi University Scientific Association of Plant Genetics
Duration: 10 hours
Institution: Royan Institute
Duration: 8 hours
Institution: 4th International Biomedicine Congress
Duration: 9 hours
Institution: Shahid Chamran University of Ahvaz Life Sciences Student Association
Institution: Shahid Chamran University of Ahvaz
Institution: Royan Institute
Institution: Razi University Plant Genetics Association
Institution: Shahid Beheshti University Biology Student Association
Institution: Iranian Biochemistry Society & Tehran University of Medical Sciences
Institution: Shahid Chamran University of Ahvaz Life Sciences Student Association
Institution: Iranian Biochemistry Society & Tehran University of Medical Sciences
Institution: Institute for Research in Fundamental Sciences (IPM) & Iranian Bioinformatics Society
Institution: University of Yazd
Institution: University of Yazd
Demonstrated ability to thrive and achieve goals while navigating a severe physical-motor disability and resource-limited environments.
Strong capabilities in planning, decision-making, and driving projects to completion.
Enthusiastic about acquiring new skills in bioinformatics, AI, and computational biology to address cutting-edge scientific questions.
Adept at overcoming obstacles with persistence, adaptability, and an innovative approach.
Passionate about working in interdisciplinary teams to bridge computational biology with clinical applications.
A dedicated and adaptable professional who thrives in dynamic environments, delivers high-quality results, and is always open to feedback for improvement.
Committed to a lifestyle of continuous growth through daily exercise, healthy nutrition, meditation, and lifelong learning.
Ready to start immediately and committed to providing regular progress reports.
English (Proficient in research, reading and writing; actively improving spoken fluency).
Due to being diagnosed with GNE myopathy at the age of 20, I have adapted to my condition and maintain the ability to perform daily tasks independently, utilizing a walker and wheelchair when necessary.
This research utilized advanced bioinformatics, drug design, and AI techniques to tackle key challenges in colorectal cancer progression and liver metastasis. The objectives included:
Biological Pathways and Biomarkers:
Drug Design and Evaluation:
Key Questions in Cancer Research:
This study bridges computational tools and personalized medicine to advance cancer treatment and drug discovery.
Ph.D. Candidate in Molecular Genetics | Researcher in Molecular Oncology | Specialist in Bioinformatics and AI
Final-year Ph.D. candidate with over 10 years of expertise in bioinformatics, computational biology, and AI-driven drug design, specializing in colorectal cancer and metastasis research. Passionate about leveraging machine learning and multi-omics approaches to advance precision medicine.