
Akbar Yermekov
CEO, Chief Data Scientist
Education
- University of Oxford (UK) - Undergraduate Advanced Diploma in IT Systems Analysis and Design - Part-time studies, with distinction 
- MIT Institute for Data, Systems and Society (IDSS) & MITx - MicroMasters in Statistics and Data Science 
- University of the People (USA) - Associate of Science in Computer Science 
- Eastern Mediterranean University (Turkey) - Molecular Biology and Genetics (1st year, "High Honor") 
Professional Experience
- •Full-stack data scientist with 12 years of experience
- •Expertise in machine learning, predictive modeling, generative and agentic AI, as well as software architecture and database design
- •Extensive experience designing & building predictive models, NLP and CV pipelines for various startups and international institutions
- •Developed and tested predictive models that were used by several Fortune 100 companies
Certificates
- Utrecht University & Bijvoet Centre for Biomolecular Research - Exploring Nature's Molecular Machines - Summer School Program, 2014 - Focus: Molecular Biology, Research Methods, Biological Data Analysis 
- University of Melbourne - Epigenetic Control of Gene Expression - Coursera Certificate with Distinction, 2014 - Focus: Research Skills, Literature Reviews, Scientific Writing 
- University of Toronto - Bioinformatic Methods II - Coursera Certificate with Distinction, 2014 - Focus: Structural Bioinformatics, Computational Genomics, R Programming, Sequence Alignment 
- Johns Hopkins University - Mathematical Biostatistics Boot Camp 1 - Coursera Certificate, 2014 - Focus: Statistical Modeling, Hypothesis Testing, Clinical Data Analysis 
- Duke University - Bioelectricity: A Quantitative Approach - Coursera Certificate, 2013 - Focus: Research Skills, Biological Data Analysis 
- University of California, Berkeley - Quantum Mechanics and Quantum Computation - edX Certificate, 2013 - Focus: Statistics, Applied Mathematics, Quantum Computing 
Recent Publications
 - The Hidden Danger in AI Training: When Models Learn Too Well - LinkedIn, 2024 - An exploration of data leakage issues in AI model training and their implications 
 - Transcriptomic Databases - Encyclopedia of Bioinformatics and Computational Biology, 2019 - A co-authored comprehensive review of transcriptomic databases, focusing on cancer research and human disease pathology, along with developmental biology and broader repositories for animal and plant studies.