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Ashina Tuwu

Research Scientist & Academic
[email protected]
+1 000 000 0000
Boston, MA
https://resuvve.com
https://resuvve.com
https://resuvve.com

Professional Summary

Passionate research scientist with 8+ years of experience in machine learning and data science. Published 15+ peer-reviewed papers and led multiple interdisciplinary research projects. Strong background in both theoretical research and practical applications.

Experience

Postdoctoral Research Fellow

Harvard University • Cambridge, MA
07/2022 - 06/2024
  • Led research on explainable AI and interpretable machine learning models
  • Collaborated with interdisciplinary teams on healthcare AI applications
  • Mentored 3 graduate students and published 5 peer-reviewed papers
  • Secured $500K in research funding from NSF and NIH grants

Research Intern

Google Research • Mountain View, CA
06/2021 - 09/2021
  • Developed novel algorithms for federated learning in privacy-preserving ML
  • Contributed to open-source TensorFlow libraries used by 100K+ developers
  • Presented research findings at top-tier conferences (NeurIPS, ICML)

Education

Ph.D. in Computer Science

MIT
GPA: 3.9 • Honors: Summa Cum Laude, Best Dissertation Award
09/2018 - 06/2022

Master of Science in Artificial Intelligence

Stanford University
GPA: 3.8
09/2016 - 05/2018

Skills

Programming Languages:

Python, R

Machine Learning:

PyTorch, TensorFlow, scikit-learn

Data Analysis:

Pandas, NumPy

DevOps:

Docker

Version Control:

Git

Projects

Explainable AI for Medical Diagnosis

https://github.com/sarahchen/explainable-medical-ai
01/2023 - 05/2023

Developed interpretable deep learning models for medical image analysis with 95% accuracy

Technologies: Python, PyTorch, TensorFlow, OpenCV, DICOM

Federated Learning Framework

09/2022 - Present

Built distributed machine learning system for privacy-preserving collaborative research

Technologies: Python, Docker, Kubernetes, PySyft, Flask

Contributions

scikit-learn

Implemented new ensemble learning algorithms Improved documentation and added comprehensive test coverage Mentored new contributors and reviewed 50+ pull requests

Certifications

AWS Machine Learning Specialty

08/2023
Amazon Web Services

Google Cloud Professional ML Engineer

05/2023
Google Cloud

Certified Data Scientist

12/2022
Data Science Council of America

Languages

English

Native

Mandarin

Native

French

Professional Working

Ashina Tuwu Research Scientist & Academic

[email protected] | +1 000 000 0000 | Boston, MA | Website: resuvve.com | LinkedIn: resuvve.com | GitHub: resuvve.com

Summary

Passionate research scientist with 8+ years of experience in machine learning and data science. Published 15+ peer-reviewed papers and led multiple interdisciplinary research projects. Strong background in both theoretical research and practical applications.

Skills

Python, R, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, Docker, Git

Experience

Postdoctoral Research Fellow

Harvard University • Cambridge, MA
07/2022 - 06/2024
  • Led research on explainable AI and interpretable machine learning models
  • Collaborated with interdisciplinary teams on healthcare AI applications
  • Mentored 3 graduate students and published 5 peer-reviewed papers
  • Secured $500K in research funding from NSF and NIH grants

Research Intern

Google Research • Mountain View, CA
06/2021 - 09/2021
  • Developed novel algorithms for federated learning in privacy-preserving ML
  • Contributed to open-source TensorFlow libraries used by 100K+ developers
  • Presented research findings at top-tier conferences (NeurIPS, ICML)

Projects

Explainable AI for Medical Diagnosis

github.com/sarahchen/explainable-medical-ai

Developed interpretable deep learning models for medical image analysis with 95% accuracy

Tech: Python, PyTorch, TensorFlow, OpenCV, DICOM

Federated Learning Framework

Built distributed machine learning system for privacy-preserving collaborative research

Tech: Python, Docker, Kubernetes, PySyft, Flask

Contributions

scikit-learn

github.com/scikit-learn/scikit-learn

Implemented new ensemble learning algorithms Improved documentation and added comprehensive test coverage Mentored new contributors and reviewed 50+ pull requests

Education

Ph.D. in Computer Science

MIT09/2018 - 06/2022

Master of Science in Artificial Intelligence

Stanford University09/2016 - 05/2018

Certifications

AWS Machine Learning Specialty

Amazon Web Services08/2023

Google Cloud Professional ML Engineer

Google Cloud05/2023

Certified Data Scientist

Data Science Council of America12/2022

Languages

English (Native), Mandarin (Native), French (Professional Working)

Ashina Tuwu

Research Scientist & Academic
Boston, MA • [email protected] • +1 000 000 0000 • https://resuvve.com • https://resuvve.com

Objective

Passionate research scientist with 8+ years of experience in machine learning and data science. Published 15+ peer-reviewed papers and led multiple interdisciplinary research projects. Strong background in both theoretical research and practical applications.

Education

Ph.D.

Computer Science
MIT
09/2018—06/2022
GPA: 3.9
Summa Cum Laude • Best Dissertation Award

Master of Science

Artificial Intelligence
Stanford University
09/2016—05/2018
GPA: 3.8

Academic Projects

Explainable AI for Medical Diagnosis

github.com/sarahchen/explainable-medical-ai

Developed interpretable deep learning models for medical image analysis with 95% accuracy

Python, PyTorch, TensorFlow, OpenCV, DICOM

Federated Learning Framework

Built distributed machine learning system for privacy-preserving collaborative research

Python, Docker, Kubernetes, PySyft, Flask

Open Source Contributions

scikit-learn — scikit-learn

Core Contributor
github.com/scikit-learn/scikit-learn

Implemented new ensemble learning algorithms Improved documentation and added comprehensive test coverage Mentored new contributors and reviewed 50+ pull requests

Experience

Postdoctoral Research Fellow

Harvard University
07/2022—06/2024
Cambridge, MA
  • Led research on explainable AI and interpretable machine learning models
  • Collaborated with interdisciplinary teams on healthcare AI applications
  • Mentored 3 graduate students and published 5 peer-reviewed papers
  • Secured $500K in research funding from NSF and NIH grants

Research Intern

Google Research
06/2021—09/2021
Mountain View, CA
  • Developed novel algorithms for federated learning in privacy-preserving ML
  • Contributed to open-source TensorFlow libraries used by 100K+ developers
  • Presented research findings at top-tier conferences (NeurIPS, ICML)

Technical Skills

Programming Languages: Python, R
Machine Learning: PyTorch, TensorFlow, scikit-learn
Data Analysis: Pandas, NumPy
DevOps: Docker
Version Control: Git

Certifications & Courses

AWS Machine Learning Specialty

Amazon Web Services
08/2023

Google Cloud Professional ML Engineer

Google Cloud
05/2023

Certified Data Scientist

Data Science Council of America
12/2022

Languages

English (Native), Mandarin (Native), French (Professional Working)

Ashina Tuwu

Research Scientist & Academic
📍 Boston, MA✉️ [email protected]📱 +1 000 000 0000
🔗 resuvve.com🌐 resuvve.com💼 resuvve.com

Summary

Passionate research scientist with 8+ years of experience in machine learning and data science. Published 15+ peer-reviewed papers and led multiple interdisciplinary research projects. Strong background in both theoretical research and practical applications.

Experience

Postdoctoral Research Fellow

Harvard University • Cambridge, MA
07/2022 - 06/2024
  • Led research on explainable AI and interpretable machine learning models
  • Collaborated with interdisciplinary teams on healthcare AI applications
  • Mentored 3 graduate students and published 5 peer-reviewed papers
  • Secured $500K in research funding from NSF and NIH grants

Research Intern

Google Research • Mountain View, CA
06/2021 - 09/2021
  • Developed novel algorithms for federated learning in privacy-preserving ML
  • Contributed to open-source TensorFlow libraries used by 100K+ developers
  • Presented research findings at top-tier conferences (NeurIPS, ICML)

Education

Ph.D. in Computer Science

MIT • GPA: 3.9
09/2018 - 06/2022

Master of Science in Artificial Intelligence

Stanford University • GPA: 3.8
09/2016 - 05/2018

Skills

Programming Languages:Python, R
Machine Learning:PyTorch, TensorFlow, scikit-learn
Data Analysis:Pandas, NumPy
DevOps:Docker
Version Control:Git

Projects

Explainable AI for Medical Diagnosis

github.com/sarahchen/explainable-medical-ai

Developed interpretable deep learning models for medical image analysis with 95% accuracy

Tech: Python, PyTorch, TensorFlow, OpenCV, DICOM

Federated Learning Framework

Built distributed machine learning system for privacy-preserving collaborative research

Tech: Python, Docker, Kubernetes, PySyft, Flask

Contributions

scikit-learn

github.com/scikit-learn/scikit-learn

Implemented new ensemble learning algorithms Improved documentation and added comprehensive test coverage Mentored new contributors and reviewed 50+ pull requests

Certifications

AWS Machine Learning Specialty

08/2023
Amazon Web Services

Google Cloud Professional ML Engineer

05/2023
Google Cloud

Certified Data Scientist

12/2022
Data Science Council of America

Languages

English (Native), Mandarin (Native), French (Professional Working)

Ashina Tuwu

Research Scientist & Academic
[email protected]+1 000 000 0000Boston, MAhttps://resuvve.comhttps://resuvve.comhttps://resuvve.com

Summary

Passionate research scientist with 8+ years of experience in machine learning and data science. Published 15+ peer-reviewed papers and led multiple interdisciplinary research projects. Strong background in both theoretical research and practical applications.

Experience

Harvard University
Postdoctoral Research Fellow
07/2022 - 06/2024
Cambridge, MA
  • Led research on explainable AI and interpretable machine learning models
  • Collaborated with interdisciplinary teams on healthcare AI applications
  • Mentored 3 graduate students and published 5 peer-reviewed papers
  • Secured $500K in research funding from NSF and NIH grants
Google Research
Research Intern
06/2021 - 09/2021
Mountain View, CA
  • Developed novel algorithms for federated learning in privacy-preserving ML
  • Contributed to open-source TensorFlow libraries used by 100K+ developers
  • Presented research findings at top-tier conferences (NeurIPS, ICML)

Education

MIT
Ph.D. Computer Science
09/2018 - 06/2022
Stanford University
Master of Science Artificial Intelligence
09/2016 - 05/2018

Skills

PythonRPyTorchTensorFlowscikit-learnPandasNumPyDockerGit

Projects

Explainable AI for Medical Diagnosis
https://github.com/sarahchen/explainable-medical-ai
01/2023 - 05/2023
Developed interpretable deep learning models for medical image analysis with 95% accuracy
Technologies: Python, PyTorch, TensorFlow, OpenCV, DICOM
Federated Learning Framework
Built distributed machine learning system for privacy-preserving collaborative research
Technologies: Python, Docker, Kubernetes, PySyft, Flask

Contributions

scikit-learn
https://github.com/scikit-learn/scikit-learn
Core Contributor • scikit-learn
Implemented new ensemble learning algorithms
Improved documentation and added comprehensive test coverage
Mentored new contributors and reviewed 50+ pull requests

Certifications

AWS Machine Learning Specialty • Amazon Web Services • 08/2023
Google Cloud Professional ML Engineer • Google Cloud • 05/2023
Certified Data Scientist • Data Science Council of America • 12/2022

Languages

English(Native)Mandarin(Native)French(Professional Working)

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