Experienced Artificial Intelligence and Data Science professional with a strong background in Neuroscience and Physics. Proven track record in leading
Aktualisiert am 24.03.2025
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 24.03.2025
Verfügbar zu: 100%
davon vor Ort: 100%
GenAI
AI
Data Analyst
AI agents
Dashboard
English
German

Einsatzorte

Einsatzorte

Munich (+50km)
Deutschland
möglich

Projekte

Projekte

2023 - 2023: Creating an Innovative Online Platform


Customer: on request


Tasks:

Creating an Innovative Online Platform for Streamlined Laboratory Data Analysis and Reporting

  • In this project, I designed an advanced online platform that integrates legacy and classic methods for spectral analysis with cutting-edge machine learning tools, tailored specifically to the needs of clients in MedTech and biotechnology.
  • The platform utilizes specialized ML models developed to address key challenges in customers' fields, enabling the automation of complex spectral data interpretation.
  • Additionally, it facilitates knowledge discovery and insight generation, particularly in Raman spectroscopy applications for biomedical research and development. This streamlined solution opens up new R&D channels by enhancing the precision and efficiency of laboratory data analysis and reporting.

08/2022 - 08/2022: various Projects


Customer: nature


Tasks:

  • Repeated stress exposure leads to structural synaptic instability prior to disorganization of hippocampal coding and impairments in learning
  • URL on request

2022 - 2022: Developing an AI-Powered Tool


Customer: on request


Tasks:

Developing an AI-Powered Tool for Detecting Drug Resistance in Infectious Diseases

  • In this project, I developed an AI-powered tool that leverages Raman spectroscopy and machine vision to detect drug resistance in infectious diseases with high precision.
  • The tool uses advanced machine learning algorithms to analyze Raman spectral data, identifying molecular signatures indicative of drug resistance.
  • Integrated with machine vision technology, the tool automates the targeting and analysis of specific biological samples, streamlining the detection process.
  • This innovative approach improves the speed and accuracy of drug resistance detection, offering a valuable asset for researchers and clinicians in the fight against infectious diseases.

10/2020 - 10/2020: Hippocampal neurons


Customer: plos.one


Tasks:

  • Hippocampal neurons with stable excitatory connectivity become part of neuronal representations
  • URL on request

08/2019 - 08/2019: The hippocampal code for space in Mongolian gerbils


Customer: WILEY


Tasks:

  • URL on request

02/2019 - 02/2019: Hippocampal CA1


Customer: nature


Tasks:

  • Hippocampal CA1 replay becomes less prominent but more rigid without inputs from medial entorhinal cortex
  • URL on request

2018 - 2018: Constructing an Intelligent System


Customer: Max Planck Institute


Tasks:

Constructing an Intelligent System for Concurrent Analysis of Mammalian Brain Activity and Behavior

  • In this project, I built an intelligent system designed for the concurrent analysis of multivariate time series data, capturing both neuronal activity and animal behavior in real time.
  • The system records high-dimensional neural signals from mammalian brains and synchronizes this data with detailed behavioral metrics, providing a comprehensive view of brain-behavior interactions.
  • Leveraging advanced analytics and machine learning models, the study uncovers patterns and correlations across these complex data streams, enabling deeper insights into neural mechanisms underlying behavior.
  • This solution opens new avenues for research in neuroscience and behavioral studies.
11/2014 - 11/2014: protein heavy-atom structure reconstruction


Springer Link


Tasks:

  • A three dimensional visualisation approach to protein heavy-atom structure reconstruction
  • URL on request

Aus- und Weiterbildung

Aus- und Weiterbildung

2017 - 2020

Postdoc in Neuroscience

Max Planck Institute of Psychiatry, Munich, Germany


2013 - 2018

Computational neuroscience

PhD in Neuroscience

Ludwig Maximilian Universität, Munich, Germany


2009 - 2011

Theoretical

Master of Physics

Uppsala University, Uppsala, Sweden


2003 - 2008

Atomic

Bachelor of Physics

Shiraz University, Shiraz, Fars, Iran

Position

Position

Data Scientist

Kompetenzen

Kompetenzen

Top-Skills

GenAI AI Data Analyst AI agents Dashboard

Produkte / Standards / Erfahrungen / Methoden

Profile

  • Experienced Artificial Intelligence and Data Science professional with a strong background in Neuroscience and Physics. 
  • Proven track record in leading innovative AI-driven projects, developing cutting-edge algorithms, and collaborating with cross-functional teams to deliver impactful solutions. 
  • Adept at translating business needs into AI-powered innovations, optimizing processes, and unlocking valuable insights from complex data. 
  • Skilled in machine learning model design, data analytics, and cloud-based platforms.
  • Strong project management abilities, particularly in international and interdisciplinary settings. 
  • Published researcher with significant contributions to advancing AI applications and technologies.


Skills

  • Project Management 
  • Data Analytics & Statistical Analysis
  • AI & Machine Learning (ML) 
  • AI Agents ( RAG, Langchain, AutoGen)
  • GenAI (LLMs, GANs, Diffusion Models ) 
  • Cloud Technologies (Azure, AWS)
  • Dashboards ( Dash, Streamlit, Mesop) 
  • Collaboration & Communication with non-technical partners


Work Experience

01/2022 - today

Place of Work: Munich, Germany

Role: Head of Data Science

Customer: on request


Tasks:

  • Led pioneering research initiatives to develop cutting-edge methods in data augmentation.
  • Successfully coordinated collaborative projects with external partners, ensuring seamless project management and achievement of objectives.
  • Implemented robust measures to safeguard the company's intellectual property within the AI sector.
  • Oversaw AI projects specializing in precision photonics and robotics, ensuring successful execution and alignment with strategic objectives.


2020 - 2021

Place of Work: Tutzing, Germany

Role: Senior Data Scientist

Customer: Cell tool GmbH


Tasks:

  • Designed and implemented advanced AI algorithms tailored for spectral data analysis, enhancing efficiency and accuracy in data interpretation.
  • Applied deep learning models to effectively predict and recognize patterns within complex medical data, contributing to enhanced diagnostic capabilities and decision-making processes.
  • Directed the development of the front end for our web-based spectral analysis tool, ensuring user-friendly interface design and seamless integration with backend functionalities.


2018 - 2021

Place of Work: Germany

Role: Research Supervisor

Customer: Max Planck Institute of Psychiatry


Tasks:

  • Conceptualized and constructed real-time brain and behavior monitoring systems, integrating cutting-edge technologies to facilitate continuous data analysis and insights.
  • Supervised and guided student projects, providing mentorship and support to facilitate their successful completion and growth.
  • Published research findings in esteemed scientific journals, contributing to the advancement of knowledge within the field.

Einsatzorte

Einsatzorte

Munich (+50km)
Deutschland
möglich

Projekte

Projekte

2023 - 2023: Creating an Innovative Online Platform


Customer: on request


Tasks:

Creating an Innovative Online Platform for Streamlined Laboratory Data Analysis and Reporting

  • In this project, I designed an advanced online platform that integrates legacy and classic methods for spectral analysis with cutting-edge machine learning tools, tailored specifically to the needs of clients in MedTech and biotechnology.
  • The platform utilizes specialized ML models developed to address key challenges in customers' fields, enabling the automation of complex spectral data interpretation.
  • Additionally, it facilitates knowledge discovery and insight generation, particularly in Raman spectroscopy applications for biomedical research and development. This streamlined solution opens up new R&D channels by enhancing the precision and efficiency of laboratory data analysis and reporting.

08/2022 - 08/2022: various Projects


Customer: nature


Tasks:

  • Repeated stress exposure leads to structural synaptic instability prior to disorganization of hippocampal coding and impairments in learning
  • URL on request

2022 - 2022: Developing an AI-Powered Tool


Customer: on request


Tasks:

Developing an AI-Powered Tool for Detecting Drug Resistance in Infectious Diseases

  • In this project, I developed an AI-powered tool that leverages Raman spectroscopy and machine vision to detect drug resistance in infectious diseases with high precision.
  • The tool uses advanced machine learning algorithms to analyze Raman spectral data, identifying molecular signatures indicative of drug resistance.
  • Integrated with machine vision technology, the tool automates the targeting and analysis of specific biological samples, streamlining the detection process.
  • This innovative approach improves the speed and accuracy of drug resistance detection, offering a valuable asset for researchers and clinicians in the fight against infectious diseases.

10/2020 - 10/2020: Hippocampal neurons


Customer: plos.one


Tasks:

  • Hippocampal neurons with stable excitatory connectivity become part of neuronal representations
  • URL on request

08/2019 - 08/2019: The hippocampal code for space in Mongolian gerbils


Customer: WILEY


Tasks:

  • URL on request

02/2019 - 02/2019: Hippocampal CA1


Customer: nature


Tasks:

  • Hippocampal CA1 replay becomes less prominent but more rigid without inputs from medial entorhinal cortex
  • URL on request

2018 - 2018: Constructing an Intelligent System


Customer: Max Planck Institute


Tasks:

Constructing an Intelligent System for Concurrent Analysis of Mammalian Brain Activity and Behavior

  • In this project, I built an intelligent system designed for the concurrent analysis of multivariate time series data, capturing both neuronal activity and animal behavior in real time.
  • The system records high-dimensional neural signals from mammalian brains and synchronizes this data with detailed behavioral metrics, providing a comprehensive view of brain-behavior interactions.
  • Leveraging advanced analytics and machine learning models, the study uncovers patterns and correlations across these complex data streams, enabling deeper insights into neural mechanisms underlying behavior.
  • This solution opens new avenues for research in neuroscience and behavioral studies.
11/2014 - 11/2014: protein heavy-atom structure reconstruction


Springer Link


Tasks:

  • A three dimensional visualisation approach to protein heavy-atom structure reconstruction
  • URL on request

Aus- und Weiterbildung

Aus- und Weiterbildung

2017 - 2020

Postdoc in Neuroscience

Max Planck Institute of Psychiatry, Munich, Germany


2013 - 2018

Computational neuroscience

PhD in Neuroscience

Ludwig Maximilian Universität, Munich, Germany


2009 - 2011

Theoretical

Master of Physics

Uppsala University, Uppsala, Sweden


2003 - 2008

Atomic

Bachelor of Physics

Shiraz University, Shiraz, Fars, Iran

Position

Position

Data Scientist

Kompetenzen

Kompetenzen

Top-Skills

GenAI AI Data Analyst AI agents Dashboard

Produkte / Standards / Erfahrungen / Methoden

Profile

  • Experienced Artificial Intelligence and Data Science professional with a strong background in Neuroscience and Physics. 
  • Proven track record in leading innovative AI-driven projects, developing cutting-edge algorithms, and collaborating with cross-functional teams to deliver impactful solutions. 
  • Adept at translating business needs into AI-powered innovations, optimizing processes, and unlocking valuable insights from complex data. 
  • Skilled in machine learning model design, data analytics, and cloud-based platforms.
  • Strong project management abilities, particularly in international and interdisciplinary settings. 
  • Published researcher with significant contributions to advancing AI applications and technologies.


Skills

  • Project Management 
  • Data Analytics & Statistical Analysis
  • AI & Machine Learning (ML) 
  • AI Agents ( RAG, Langchain, AutoGen)
  • GenAI (LLMs, GANs, Diffusion Models ) 
  • Cloud Technologies (Azure, AWS)
  • Dashboards ( Dash, Streamlit, Mesop) 
  • Collaboration & Communication with non-technical partners


Work Experience

01/2022 - today

Place of Work: Munich, Germany

Role: Head of Data Science

Customer: on request


Tasks:

  • Led pioneering research initiatives to develop cutting-edge methods in data augmentation.
  • Successfully coordinated collaborative projects with external partners, ensuring seamless project management and achievement of objectives.
  • Implemented robust measures to safeguard the company's intellectual property within the AI sector.
  • Oversaw AI projects specializing in precision photonics and robotics, ensuring successful execution and alignment with strategic objectives.


2020 - 2021

Place of Work: Tutzing, Germany

Role: Senior Data Scientist

Customer: Cell tool GmbH


Tasks:

  • Designed and implemented advanced AI algorithms tailored for spectral data analysis, enhancing efficiency and accuracy in data interpretation.
  • Applied deep learning models to effectively predict and recognize patterns within complex medical data, contributing to enhanced diagnostic capabilities and decision-making processes.
  • Directed the development of the front end for our web-based spectral analysis tool, ensuring user-friendly interface design and seamless integration with backend functionalities.


2018 - 2021

Place of Work: Germany

Role: Research Supervisor

Customer: Max Planck Institute of Psychiatry


Tasks:

  • Conceptualized and constructed real-time brain and behavior monitoring systems, integrating cutting-edge technologies to facilitate continuous data analysis and insights.
  • Supervised and guided student projects, providing mentorship and support to facilitate their successful completion and growth.
  • Published research findings in esteemed scientific journals, contributing to the advancement of knowledge within the field.

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