About
Ali Farnoud is a senior Data Scientist at Boehringer Ingelheim. He received his PhD from Heidelberg University. Afterwards, he was a postdoctoral researcher in Helmholtz Munich in the department of Computational Biology and the German Lung Research Center. Ali is currently working as a senior clinical data scientist at Boehringer Ingelheim and is a co-founder and CTO at PolarisAI Fintech company.
Summary of Qualifications
- Data preprocessing, visualization, machine learning, and deep learning, physics-informed neural networks (R, Python, Julia, C++)
- Computational biology, bioinformatics, multi-omics data analysis, biostatistics, time series predictions, PKPD modeling
- Cloud computing, AWS, GCP compliant computer systems, data engineering
Experience
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Senior Clinical Data Scientist
Translational Medicine and Clinical Pharmacology - Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
- Cross-functional machine learning working group
- Innovative analysis strategies for clinical data sciences projects
- Biomarker analysis project using advanced machine learning models
- Application of physics-informed neural networks in clinical project
- Development of validated on-premise and cloud computing environment for clinical data science applications
- Academic collaborations and supervision of interns and postdoctoral researchers
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Postdoctoral Researcher
Institute of Computational Biology & German Lung Research Center - Helmholtz Munich, Munich, Germany
- Senior postdoc at the department of computational biology
- Oncology biomarker discovery and spatial transcriptomics projects
- RNA seq analysis
- Inflammatory skin diseases
- Machine learning models for pharmacometrics analysis
- MATLAB code development for in-vitro cell exposure projects
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Research Scientist
Interdisciplinary Center for Scientific Computing - University of Heidelberg, Heidelberg, Germany
- Developed predictive models for partial differential equations using HPC
- Performed image processing and segmentation of 3D complex human airways from CT images
- Simulated 3D airflow and analyzed drug motion for inhalers
- Optimized the design of drug delivery devices
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Research Engineer
BEKO AG / TOBB University of Economics and Technology, Ankara, Turkey
- Developed software for partial differential equations
- Optimized the efficiency of washing drying machines
- Teaching assistant for C++ and Engineering Mathematics courses
- Top student in the department of engineering
- Received a full scholarship from the Turkish Ministry of Science and Technology
Education
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PhD in Applied Mathematics and Computer Science
Heidelberg University, Germany
Skills
- Data preprocessing, visualization, machine learning, and deep learning
- Computational biology, bioinformatics, multi-omics data analysis, biostatistics, time series predictions, PKPD modeling
- Cloud computing, AWS, GCP compliant computer systems, data engineering
- Programming Languages: Python, R, Julia, MATLAB, C, C++, Java
- Operating Systems: Linux, Windows
- Languages: English (Full Professional Proficiency), German (Fluent, B2), Turkish (Native), Persian (Native)