Nicolas Alder
PhD Artificial Intelligence And Sustainability Chair at Massachusetts Institute of Technology
Potsdam, Brandenburg, Germany
Summary
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Senior🎓
Top SchoolNicolas Alder is a PhD researcher and data engineer with nine years of experience applying machine learning and deep learning to sustainability and production problems, currently affiliated with Hasso Plattner Institute and a visiting researcher at MIT through the MIT-HPI joint sustainability program. He holds an M.Sc. in Data Engineering (with distinction) and a B.Sc. in Computer Science, and has a track record of turning large, messy corpora into usable datasets—e.g., processing 200GB of patent XML and building deep-learning-ready corpora. His background spans academic research, industry R&D at Volkswagen’s Smart Production Lab, and quantitative work in an investment office, giving him a rare mix of domain breadth from manufacturing to finance. Nicolas also has substantial teaching experience for large online courses and hands-on tooling experience with Elasticsearch, Python data stacks, and remote Jupyter workflows. He is driven by practical, reproducible ML for sustainability and production efficiency, combining rigorous evaluation with production-minded engineering. A less obvious strength is his proven ability to scale projects end-to-end: from raw data parsing and infrastructure to course design and stakeholder-facing delivery.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science, Computer Science, GPA: 1.7, Thesis: 1.0 (German Grading), Bachelor of Science, Computer Science, GPA: 1.7, Thesis: 1.0 (German Grading) at Freie Universität BerlinMaster of Science, Data Engineering, GPA: 1.2, with distinction, Thesis: 1.0 (German Grading), Master of Science, Data Engineering, GPA: 1.2, with distinction, Thesis: 1.0 (German Grading) at Hasso Plattner Institute
Github Skills (24)
medicine7
roberta6
transfer-learning6
nlp5
question-answering5
pytorch4
matching4
deep-learning4
natural-language-processing4
bert4
transformers3
machine-learning3
text-classification3
garden2
graph2
Programming languages (3)
Github contributions (5)
julian-risch/PatentMatch
Jun 2019 - Aug 2020
Contributions:41 commits in 1 year 1 month
nicolas-alder/KAFKA-EFDT
Aug 2019 - Sep 2019
Implementing the paper "Extremely Fast Decision Tree" on Apache Kafka by Nicolas B. Alder and Henrik Wenck
Contributions:62 commits in 28 days
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