Fabian Schmidt
Doctoral student
Researcher
About me
I am a PhD student working on the ALEC2 project. My supervisors are Professor Vladimir Vlassov and Associate Professor Amir Hossein Payberah. I am affiliated with Wallenberg AI, Autonomous Systems and Software Program (WASP).
My research interests include NLP/NLU and ML, particularly in health. I develop a system comprising several ML models in psychology to improve treatment delivery and success.
We currently offer the possibility to conduct Master theses in our group. I offer the possibility to supervise the following topics:
-
A Scalable Architecture for Deploying Machine Learning Models in Internet-Based Cognitive Behavioral Therapy.
-
Enhancing Patient and Clinician Representations in iCBT: Multimodal Approaches and Advanced Techniques
-
Enhancing iCBT with Knowledge Graphs.
-
Implementing RAG for iCBT Applications.
-
Implementing Guardrails for Patient/Clinician Feedback in Generative AI.
-
Enhancing iCBT with Reinforcement Learning from Human Feedback (RLHF): Improving Model Performance on Downstream Tasks.
-
Enhancing iCBT with Automatic Annotation and Data Augmentation Using Self-Supervised Learning.
-
Machine Learning-Based Risk Monitoring in iCBT: Modeling Dropout Risk, Symptom Deterioration, and Other Critical Factors.
-
Enhancing iCBT through Audio and Video Analysis: Uncovering Non-Verbal Cues and Behavioral Patterns
Don't hesitate to contact me if you are interested: .
Courses
Data Mining (ID2222), assistant | Course web
Data Mining (FID3016), assistant | Course web
Scalable Machine Learning and Deep Learning (ID2223), assistant | Course web