ALEXANDER ROTHSCHILD

Master Student in Computer Science

Humboldt Universität zu Berlin

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About Me

Alexander Rothschild

I am a Computer Science Master's student at Humboldt Universität zu Berlin, specializing in Artificial Intelligence and Machine Learning. My research focuses on developing robust algorithms for computer vision applications and exploring the intersection of deep learning and natural language processing.

With a background in mathematics and software engineering, I approach problems with analytical rigor and creative problem-solving. I'm passionate about creating technology that makes a meaningful impact on society, particularly in healthcare and accessibility domains.

Machine Learning
Computer Vision
Natural Language Processing
Algorithm Design

Education

MSc in Computer Science

Humboldt Universität zu Berlin

2023 - Present

Specialization in Artificial Intelligence and Machine Learning. Current GPA: 3.9/4.0

Key Coursework:

Advanced Machine Learning
Deep Learning Architectures
Computer Vision
Natural Language Processing
Algorithmic Bioinformatics
Distributed Systems

MSc in Economics (VWL)

Freie Universität Berlin

2016 - 2020

Key Coursework:

Statistics & Econometrics
Data Science with R & MatLab
Mathematical Modelling
Time Series Prediction
Macro & Micro Economics
Regulation & Central Banking

Exchange Program

Harvard Univercity

Spring 2018

Semester abroad focusing on advanced topics in data analysis and machine learning.

Research Interests

Deep Learning Interpretability

Developing methods to make deep learning models more transparent and interpretable, focusing on visualization techniques and attribution methods.

Computer Vision

Exploring efficient object detection and segmentation algorithms for real-time applications, with a focus on medical imaging and autonomous systems.

Natural Language Processing

Investigating multilingual language models and cross-lingual transfer learning for low-resource languages and specialized domains.

Robust AI Systems

Developing techniques to enhance the robustness of AI systems against adversarial attacks and distribution shifts in real-world environments.

AI in Healthcare

Applying machine learning techniques to healthcare problems, including disease prediction, medical image analysis, and personalized treatment recommendations.

Reinforcement Learning

Studying sample-efficient reinforcement learning algorithms for complex decision-making tasks and multi-agent systems.

Publications

Acute Kidney Injury Prediction Using Machine Learning and AI Methods

Preprint Code

Projects

A selection of my academic and personal projects exploring various aspects of computer science and artificial intelligence.

Medical Image Segmentation

Medical Image Segmentation

Developed a deep learning model for automatic segmentation of brain tumors in MRI scans, achieving state-of-the-art performance on the BraTS dataset.

PyTorch Computer Vision U-Net
Code Demo
Multilingual Sentiment Analysis

Multilingual Sentiment Analysis

Built a transformer-based model for sentiment analysis across 10 European languages, with a focus on cross-lingual transfer learning.

Hugging Face NLP BERT
Code Paper
Reinforcement Learning for Robotics

RL for Robot Navigation

Implemented a reinforcement learning algorithm for efficient robot navigation in complex environments with dynamic obstacles.

TensorFlow RL ROS
Code Video
Data Visualization Platform

Data Visualization Platform

Created an interactive web platform for visualizing complex scientific datasets, with support for customizable charts and real-time collaboration.

React D3.js Node.js
Code Live Demo
Explainable AI Toolkit

Explainable AI Toolkit

Developed a comprehensive toolkit for interpreting and visualizing deep learning models, including gradient-based attribution methods and attention visualization.

PyTorch Captum Flask
Code Documentation
Privacy-Preserving ML

Privacy-Preserving ML

Implemented federated learning algorithms with differential privacy guarantees for training machine learning models on sensitive healthcare data.

TensorFlow Federated Differential Privacy Python
Code Paper
View All Projects

Skills & Expertise

Programming Languages

Python Expert
C++ Advanced
JavaScript Advanced
Java Intermediate
SQL Advanced
R Intermediate

Technologies & Frameworks

PyTorch
TensorFlow
Scikit-learn
Pandas
NumPy
OpenCV
Hugging Face
Docker
Kubernetes
Git
React
Node.js
Flask
Django
PostgreSQL
MongoDB
AWS
GCP
Linux

Soft Skills & Languages

Languages

English
German
French

Soft Skills

  • Problem Solving & Critical Thinking
  • Research & Scientific Writing
  • Team Collaboration & Leadership
  • Project Management
  • Public Speaking & Presentation

Get in Touch

Contact Information

Location

Department of Computer Science
Humboldt Universität zu Berlin
Unter den Linden 6, 10099 Berlin, Germany

Office Hours

Tuesday
14:00 - 16:00
Or by appointment

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