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Team Paddle
Seasoned Team of Experts To Secure Exceptional Execution

At PHARMAECONOMICA, our experienced management team specializes in in-silico drug discovery. With backgrounds in drug discovery and development, health economics, and strategic consulting, they drive innovation and excellence in this field, ensuring exceptional outcomes in our pursuit of groundbreaking discoveries.

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Jorge Emilio Alfonso, MBA
Founder and CEO
  • LinkedIn

Accomplished leader with 17+ years in life sciences, driving innovation and achieving remarkable results. Visionary strategist known for inspiring teams and achieving success. Expertise in cross-functional alignment, high-performance teams, and innovative product launches. Proven track record in launching specialty drugs across various therapeutic areas. Extensive experience in senior management roles at top pharmaceutical and consultancy firms such as such as J&J, UCB Pharma, Daiichi Sankyo, GSK, Biogen, Fresenius Kabi, and Deloitte Belgium.

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Muhamad Usman Mirza, PhD
Co-founder and CSO
  • LinkedIn

Dr. Mirza is an accomplished computational chemist who brings +10 years of expertise in the development and implementation of computational drug design and discovery methods. His strong background encompasses driving hit-to-lead optimization and applying Machine Learning models in drug discovery, utilizing tools such as KNIME, Amber and Python. With a PhD in Pharmaceutical Sciences from KU Leuven, Belgium, they have published over 50 peer-reviewed journal articles, demonstrating their profound contributions to the field.

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Kanzal Iman, PhD
Co-founder and Director AI/ML
  • LinkedIn

Dr. Kanzal is a skilled bioinformatician and data analyst who brings expertise in the design and development of proteomics software, computational structural biology, and in silico protein structure prediction. With a PhD in Biomedical Informatics from Lahore University of Management Sciences (LUMS), she possesses a deep understanding of advanced software tools such as MATLAB, R, GitHub, UCSF Chimera, and Schrodinger. Her contributions to the field are evidenced by her publication of 9 peer-reviewed journal articles.

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