Frederik Stihler

Frederik Stihler

Data Scientist & Product Strategist

About Me

I’m passionate about leveraging my multidisciplinary background in business, mathematics, and data science to drive innovation. My goal is to build impactful, data-driven solutions and AI-powered products that solve real-world problems and connect people.

As a Data Scientist at Columbia University Irving Medical Center, I apply data science and bioinformatics to advance cancer immunotherapy research. I develop cloud-based machine learning pipelines for high-throughput sequencing data, including single-cell and spatial transcriptomics, and collaborate closely with wet lab scientists to identify biomarkers and uncover novel therapeutic targets. Previously, I worked in strategy consulting at Oliver Wyman, managing projects across sectors such as E-commerce, Automotive, and Energy. I also contributed to scaling one of Europe’s fastest-growing FinTech startups, Trade Republic, supporting its hyper-growth journey and leading product management initiatives.

Education

M.A. in Statistics

University of California, Berkeley

2023-2024

B.Sc. in Mathematics, Minor in Biology

Ludwig-Maximilians-Universität (LMU) Munich

2016-2019

B.Sc. in International Business and Management

ESB Business School - Double Degree

2012-2016

Projects

Iterative 3D Modeling with LLM Agents

Iterative 3D Modeling with LLM Agents

AI Agents
VLMs
Autogen
Python
LLM-based Data Extraction

LLM-based Data Extraction

AI
LLMs
NLP
Python
Audio Diffusion Model

Audio Diffusion Model

Unsupervised Learning
GenAI
PyTorch
Genetic Algorithm (GA) for Feature Selection

Genetic Algorithm (GA) for Feature Selection

Feature Engineering
Machine Learning
Python
Deep Learning Approximation for Optimal Portfolio Execution Costs

Deep Learning Approximation for Optimal Portfolio Execution Costs

Portfolio Optimization
Deep Learning
TensorFlow
Multimodal Causal Transformer (Text and Image Generation)

Multimodal Causal Transformer (Text and Image Generation)

Autoregressive Models
GPT
PyTorch
Machine Learning Wine Classification

Machine Learning Wine Classification

Supervised Learning
Random Forests
EDA