Dr. Ali Farnoud

• Architected multi-agentic workflow to accelerate QSP model development

🔗 fireqsp.com

• Coordinated multidisciplinary team of 15 specialists across clinical data science, software engineering, and pharmacometrics
• Developed Clinical Pharmacology AI platform enabling agentic workflows for 60+ users working on submission-relevant analysis
• Provided strategic consultation to Clinical Pharmacology leadership team on implementing agentic workflows for departmental transformation
• Architected cloud migration strategy for clinical pharmacology department ensuring scalable computational infrastructure
• Represented Boehringer Ingelheim in cross-industry AI initiatives including clinical pharmacology AI, biomarker AI, and QSP AI (collaborations with AbbVie, Sanofi, and Roche, etc.)

• Co-founded a startup leveraging tech and machine learning for asset investment
• Developed AI-driven software that utilized fundamental and technical analysis, combined with advanced ML and statistical methods
• Successfully launched a software for effective investment portfolio management

🔗 polarisai.at

• Coordinated Data & Tech ML activities within cross-functional working groups for machine learning strategy development
• Conducted biomarker analysis for NAFLD fibrosis stage prediction using advanced machine learning and statistical modeling approaches
• Co-led academic collaboration with the University of Tübingen on physics-informed neural networks application in systems pharmacology for Chronic Kidney Disease research
• Coordinated cross-functional team of 8 specialists (IT, Quality, Business) to establish robust computational infrastructure for TMCP data analysis teams
• Established validated computing environment leading cross-functional teams (IT, Quality, Business) for clinical data science applications
• Supervised research personnel including interns and postdoctoral researchers while publishing 20+ scientific articles including two in Nature Communications

• Established knowledge transfer programs including Pharmacometrics Knowledge Hour, providing training on R, machine learning, and advanced statistical methodologies
• Managed clinical data science projects in collaboration with external CROs, delivering analysis reports for regulatory submissions
• Applied innovative methodologies integrating physics-informed neural networks with nonlinear mixed effects models, presenting results at conferences
• Evaluated statistical and ML methods for PKPD analysis supporting clinical trial decision-making across oncology portfolio
• Participated in cross-functional working groups and coordinated industry collaborations with academic experts
• Coordinated pharmacometrics AI/ML strategic roadmap development and implementation across therapeutic areas

• Managed research team supervising 2 PhD and 8 Master's students in computational biology projects
• Co-led international consortium project SmartNanoTox with 9 European partners and €8M total funding, developing MATLAB-based computational frameworks
• Coordinated academic partnerships with Karolinska Institute and Technical University of Munich on AI solutions for inflammatory disease research
• Developed computational analysis platform for spatial transcriptomics in inflammatory skin diseases, published in Nature Communications
• Contributed as AI lead for ML-driven pharmacometrics analysis for EU project UNITE4TB, collaboration with GSK
• Managed €4M collaborative project with Fraunhofer and Max Planck Institutes on nano-drug delivery computational pharmacology
• Presented and published scientific articles in conferences and journals

• Solved partial differential equations (PDEs) using high performance computers (HPC)
• Image processing and Segmentation of 3D complex human airways from CT images
• Optimized the drug delivery device of PARI Respiratory Equipment Inc.
• Image processing and segmentation of human respiratory system from CT images
• Presented technical reports in R&D department of industrial partner
• Published and presented results in journals and conferences

• Developed software for PDEs
• Optimized the efficiency of washing drying machines of BEKO
• Teaching assistant for C++, Engineering Mathematics courses
• Top student at department of mechanical engineering (Note: 1.0)
• Full fund scholarship from Turkish Ministry of Science and Technology
• Paul Eisenklam young researcher travel award (ILASS14 Conference, Bremen, Germany)