Mulugeta Abebe Email & Phone Number
Generative AI Engineer @ Morgan Stanley
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Mulugeta Abebe Location
- New York, NY, US
Mulugeta Abebe Work
- Generative AI Engineer @ (September 2026 - Present)
- Lead AI and ML Engineer and Data Scientist and Equity Partner @ (July 2025 - Present)
- Associate research Scientist @ (September 2016 - June 2025)
- Senior Software Engineer @ (July 2022 - August 2023)
- Collaborator, NIHR Global Health Research Group on Neurotrauma @ (January 2019 - June 2023)
- Data Science Consultant @ (February 2022 - June 2022)
- Data Scientist Accreditation @ (January 2021 - March 2021)
- Senior Machine Learning Engineer @ (January 2020 - December 2020)
- Senior Data Scientist @ DOTS / LabCorp (January 2018 - December 2019)
- Postdoctoral Researcher @ (September 2011 - January 2016)
Mulugeta Abebe Education
- The Data Incubator
Certification
2021-2021 - State University of New York Downstate Medical Center
Doctor of Philosophy (PhD)
2004-2010 - Georgia State University
Master of Science (MS)
1999-2000 - Ben-Gurion University of the Negev
& Alemaya Univ. MSc (defence pending)
- State University of New York Downstate Health Sciences University
Doctor of Philosophy - PhD
- Georgia State University
M.S. (Masters)
- SUNY DOWNSTATE MEDICAL CENTER UHB
Ph.D. (Doctorate)
Mulugeta Abebe Skills
- Animal Models
- Artificial Intelligence/machine learning
- Asynchronous work
- Behavioral Modeling
- C++
- CSS
- Clinical Documentation Systems
- Clinical Research
- Cloud Infrastructure
- Cloud-Native Applications
- Cognitive Automation
- Cognitive Modeling
- Data Analysis
- Data Modeling
- Data Pipelines
- Data Science
- Data Structures
- Data Visualization
- Deep Learning
- Distributed Computing
- Distributed Systems
- Docker Products
- Document Automation
- Elastic Stack (ELK)
- End-to-End Project Management
- Extract, Transform, Load (ETL)
- FastAPI
- Financial Analysis
- Financial Modeling
- General Surgery
- Generative AI
- Generative Neural Networks
- Git
- GitHub
- Google Cloud Platform (GCP)
- Google Kubernetes Engine (GKE)
- Graph Embeddings
- Graphical User Interface (GUI)
- HTML
- In Vivo
- JavaScript
- Kubernetes
- Large Language Models (LLM)
- Life Sciences
- Machine Learning
- Matlab
- Medical Databases
- Microservices
- Microsoft Office
- Modeling Languages
- Music Production
- Neural Networks
- Neuroengineering
- Neuroimaging
- Neuroinformatics
- Neuroscience
- Neurostimulation
- Predictive Modeling
- Production Deployment
- Programming
- Public Speaking
- PyTorch
- Python (Programming Language)
- R
- REST APIs
- React.js
- Regression Models
- Reliability Testing
- Research
- Responsible AI
- Science
- Scientific Writing
- Scikit-Learn
- Semantic Search
- Semantic Technologies
- Signal Processing
- Statistical Modeling
- Statistics
- Teaching
- Technical Writing
- Transformer Models
- TypeScript
- Video Editing
- Video Production
Mulugeta Abebe Summary
- Mulugeta Abebe, based in New York, NY, US, is currently a Generative AI Engineer at Morgan Stanley. Mulugeta Abebe brings experience from previous roles at Katalyst Street, Columbia University, DNAnexus and University of Cambridge. Mulugeta Abebe holds a 2021 - 2021 Certification @ The Data Incubator. With a robust skill set that includes Animal Models, Artificial Intelligence/machine learning, Asynchronous work, Behavioral Modeling, C++ and more. Mulugeta Abebe has 2 emails on RocketReach.
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