Paul Pawletta
Head of Research And Development at Holocene- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
German Native or bilingual proficiency
-
English Full professional proficiency
Topline Score
Bio
0
/5.0 / Based on 0 ratingsFilter reviews by:
Experience
-
Holocene
-
United States
-
Environmental Services
-
1 - 100 Employee
-
Head of Research And Development
-
Apr 2023 - Present
-
-
Head of Technology
-
Feb 2022 - Present
-
-
-
Beam
-
United States
-
Appliances, Electrical, and Electronics Manufacturing
-
1 - 100 Employee
-
Entrepreneur In Residence
-
Jan 2022 - Mar 2022
-
-
-
Charité
-
United States
-
Civic and Social Organizations
-
Software Developer
-
Aug 2020 - Dec 2021
Working on the development for Charite’s Virtual Research Environment - a web platform to analyze research data inside the cloud. Responsible for automatizing medical imaging data pipelines and providing a Knowledge Graph web app for neuroscience data. Working on the development for Charite’s Virtual Research Environment - a web platform to analyze research data inside the cloud. Responsible for automatizing medical imaging data pipelines and providing a Knowledge Graph web app for neuroscience data.
-
-
-
Robert Koch Institute
-
Germany
-
Research
-
400 - 500 Employee
-
Software Developer
-
Feb 2019 - Jul 2020
Working within project DEMIS 2.0 - the German reporting and information system for infectious diseases. - Development of Web APIs using the FHIR data standard - Development of the desktop application used by German health offices Working within project DEMIS 2.0 - the German reporting and information system for infectious diseases. - Development of Web APIs using the FHIR data standard - Development of the desktop application used by German health offices
-
-
-
Empolis Information Management GmbH
-
Germany
-
IT Services and IT Consulting
-
100 - 200 Employee
-
Junior Solution Engineer
-
Jul 2017 - Jan 2019
As member of the Smart Data Lab, I worked on: - text analytics pipelines for large text corpora to support OCR, document classification, NER and search - fullstack development of web applications to integrate the text analytics pipelines As member of the Smart Data Lab, I worked on: - text analytics pipelines for large text corpora to support OCR, document classification, NER and search - fullstack development of web applications to integrate the text analytics pipelines
-
-
-
Honeypot.io
-
Germany
-
IT Services and IT Consulting
-
1 - 100 Employee
-
Data Science Trainee
-
Jun 2017 - Jul 2017
Working on Proof of Concept recommendation algorithms for Human Resources. Working on Proof of Concept recommendation algorithms for Human Resources.
-
-
-
Fraunhofer Heinrich Hertz Institute, HHI
-
Germany
-
Research Services
-
300 - 400 Employee
-
Research Assistant
-
Feb 2016 - Aug 2016
I developed and implemented a Deep Neural Network in Python to classify Hand movements from EEG-Brain-Computer-Interface Data. The implemented Neural Network outperforms benchmark classifiers and extracts useful neurophysiological spatial EEG scalp patterns from the motor cortex. I developed and implemented a Deep Neural Network in Python to classify Hand movements from EEG-Brain-Computer-Interface Data. The implemented Neural Network outperforms benchmark classifiers and extracts useful neurophysiological spatial EEG scalp patterns from the motor cortex.
-
-
-
University of California San Diego
-
United States
-
Hospitals and Health Care
-
1 - 100 Employee
-
Visiting Researcher
-
Apr 2015 - Oct 2015
For my Master's thesis research, I worked in the Swartz Center for Computational Neuroscience at UC San Diego. I developed algorithms to improve source localization from electroencephalographic (EEG) data utilizing unsupervised learning algorithms and head models. My research stay was funded by the DAAD - FIT weltweit: International research in information technology. For my Master's thesis research, I worked in the Swartz Center for Computational Neuroscience at UC San Diego. I developed algorithms to improve source localization from electroencephalographic (EEG) data utilizing unsupervised learning algorithms and head models. My research stay was funded by the DAAD - FIT weltweit: International research in information technology.
-
-
-
Technische Universität Berlin
-
Germany
-
Education Administration Programs
-
700 & Above Employee
-
Research Assistant
-
Oct 2013 - Apr 2015
I worked in the Machine Learning Group of TU Berlin. My lab research included the implementation and testing of unsupervised and supervised learning algorithms to improve classification performance of EEG and EMG data. I worked in the Machine Learning Group of TU Berlin. My lab research included the implementation and testing of unsupervised and supervised learning algorithms to improve classification performance of EEG and EMG data.
-
-
Education
-
Bernstein Center for Computational Neuroscience, Berlin
Master of Science (MSc), Computational Neuroscience -
Universität zu Lübeck
Bachelor of Science (BSc), Applied Mathematics in Medicine and Life Science