Who am I?

My name is Christian Warmuth and I am a recent graduate from Hasso-Plattner-Institute with a master’s degree in Data Engineering/Data Science. My passions are Data Science/AI, Software Engineering, Startups and Business Processes - and basically all related fields.

I am currently working at SAP Signavio Process.AI as a Senior AI Developer combining my interest in machine learning, software engineering, my background in business process management as well as product discovery skills. My focus here, as well as in my academic activities, is innovation in the area of process intelligence, process mining, and generally in the area of business process management & its connection to data. Beyond that, I am also a mentor at the Global Digital Excellence Association (GDEXA) trying to share my experiences, give guidance but also learn from each other.

Education

2019-2022

MSc, Data Engineering/Data Science; Hasso Plattner Institute (Potsdam, Germany)

Thesis: Towards Leveraging Textual Data for Explainable Predictive Business Process Monitoring
Focus Area: Business Processes, Machine Learning and XAI

2016-2019

BSc, Business Information Technology; Corporate State University Mannheim (Mannheim, Germany)

Thesis: Ticket Processing: From Unsupervised to Weak Supervised Clustering
Focus Area: Sales & Consulting

2008-2016

A-Level/High School Leaving Certificate; Friedrich-Dessauer-Gymnasium (Aschaffenburg, Germany)

Elective Courses: Computer Science, Economy & Law, Physics
Term Paper: Malware and their mode of operation

Professional Experience

06/2024 - NOW

Senior AI Developer | SAP Signavio Process.AI SAP Signavio (Berlin, Germany)

10/2020 - 05/2024

AI Engineer | SAP Signavio Innovation Office and Strategic Projects SAP Signavio (Berlin, Germany)

10/2018 - 09/2020

Data Scientist/Software Engineer | SAP work-study program SAP (Walldorf, Germany/Palo Alto, California)

09/2016 - 09/2018

Technology Consultant | SAP work-study program SAP (Walldorf, Germany/Palo Alto, California)

Publications and Conferences:

• 2024: Journal Business & Information Systems Engineering (BISE)
  Publication: User Behavior Mining - A Research Agenda.
• 2023: International Conference on Process Mining. Rome Italy, October 2023.
  Attendence only.
• 2023: Business Process Management Conference. Utrecht Netherlands, September 2023. Attendence & Publication.
  Publication: SimuBridge: Discovery and Management of Process Simulation Scenarios.
• 2022: International Conference on Process Mining Bozen-Bolzano Italy, October 2022. Attendence, Workshop Presentation and Publication.
  Publication: On the Potential of Textual Data for Explainable Predictive Process Monitoring in Process Mining Workshops (Conference Proceedings of ICPM 2022).
  Publication: SAP Signavio Academic Models: A Large Process Model Dataset in Process Mining Workshops (Conference Proceedings of ICPM 2022).
• 2022: Business Process Management Conference. Münster Germany, September 2022.
  Attendence only.
• 2022: World AI Festival. Cannes France, Apr 2022. Attendence & Presentation.
• 2021: International Conference on Process Mining. Eindhoven Netherlands, Oct/Nov 2021. Attendence, Workshop Presentation and Publication.
  Publication: Patient Discharge Classification Based on the Hospital Treatment Process in Process Mining Workshops (Conference Proceedings of ICPM 2021).
• 2019: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Würzburg Germany, Sep 2019.
  Attendence only.

Speaking and Podcasts:

• KI in der Produktion: KI - der Kurs mit über 20.000 Lernenden (german only - translated “AI in production: AI - the online course with over 20k learners”) together with Johannes Hötter in the podcast hosted by Peter Seeberg and Robert Weber. Aired Oct 21.
• HPI Podcast Neuland: Faszination Künstliche Intelligenz (german only - translated “HPI Neuland Podcast: Fascination AI”) together with Johannes Hötter in the podcast hosted by Leon Stebe. Aired Sep 21.

Projects and Open Source Work

• Neurodesign and Eyetracking Research: Neurodesign research towards new forms of human computer interaction.
• Histopatholic Cancer Detection: Identification of metastatic tissue in histopathologic scans of lymph node tissue slides.
• Causal Inference: Heterogeneous Computing for Constraint-Based Causal Structure Learning.
• Our own online course on AI with 15k+ learners: “Artificial Intelligence and Machine Learning for Beginners” on openHPI.
• Software Benchmarking: Analysis and Visualization of Similarities in Software Systems.
• Hospital Discharge Location Prediction for Heart Failure Patients: Process Outcome Prediction for Hospital Discharge Locations using Static and Dynamic Features.
• Our second online course on AI: “Artificial Intelligence and Machine Learning in Action” on openHPI.
• Knowledge Graphs: Creation of a Knowledge Graph on art-historic documents of the Wildenstein Plattner Institute in New York.

Last updated June 30th ‘24.