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Dr. Nono Saha

I'm a

About Me

Researcher in RNA Bioinformatics & AI · University of Leipzig/ScaDS.AI

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I'm Nono Saha and

Currently a Postdoctoral Researcher in Computer Science at ScaDS.AI Leipzig, I am interested in Artificial Intelligence and RNA bioinformatics. I enjoy using various algorithmic techniques, such as fast Fourier transform, dynamic programming and evolutionary algorithms, to address biological problems. I have a passion for programming and a strong background in Java and Python. My dream is to participate actively in the development of Africa through new biotechnologies and artificial intelligence. I like teaching practical courses in mathematics and computer programming. "Learning by doing" is the key to further education.

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  • Leipzig 04103, GE
  • Sport and Reading
  • University of Leipzig
  • PhD in C. S.
  • csaha@aims.edu.gh
  • @NMerleau

Some About my Abilities

Core competencies developed through research, teaching, and applied projects in bioinformatics and AI.

PythonJavaRDeep LearningRNA BioinformaticsEvolutionary AlgorithmsDynamic ProgrammingTeachingPublic Speaking
Researcher - 7 years of experience95%
Full Stack Java Developer - 3 years of experience85%
Lecturer - 3 years of experience75%
Public Speaker - 6 years of experience90%

My Services

What I can do for you

Bioinformatics Consulting

Expert consulting in RNA structure prediction, evolutionary algorithm design, and bioinformatics pipeline development for academic and industry clients.

Lecturing & Teaching

Teaching mathematics and computer programming at university level, with a focus on hands-on learning, algorithm design, and scientific computing.

Scientific Software Development

Development of scientific software and computational tools using Python and Java, with a focus on performance, correctness, and reproducibility.

Research Collaboration

Open to research partnerships in computational biology, evolutionary dynamics, and RNA bioinformatics. Experienced in multi-institutional collaborations.

Machine Learning & AI

Design and deployment of machine learning models, including federated learning systems that respect data privacy across distributed healthcare institutions.

Data Science & Analysis

Statistical modeling, bioinformatics data analysis, and pipeline development for high-throughput biological data, from raw sequences to biological insight.
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