CV
Summary
Saeid Rahmani is a multidisciplinary expert in web development, AI, and biomedical research. As a full-stack developer, he builds and maintains high-performance web platforms, while his research focuses on cancer genetics, immunology, and neuroscience, developing computational tools for medical applications. His expertise in machine learning, bioinformatics, and neural signal processing supports advancements in medical and computational research. Proficient in Python, R, Java, and AI frameworks, he excels in both technology and life sciences.
Education
M.Sc. in Computer Engineering (Artificial Intelligence)
Sharif University of Technology, Tehran, Iran (2017 – 2020)
Thesis: Unsupervised Neural Spike Sorting by Deep Learning Methods
Advisor: Dr. Ali Sharifi-Zarchi
B.Sc. in Computer Engineering
Kharazmi University, Tehran, Iran (2012 – 2016)
Advisor: Dr. Azadeh Mansouri
Research Interests
- Bioinformatics
- Genetics
- Computational Neuroscience
- Cancer Biology
- Natural Language Processing
- High-Performance Computing
Skills
- Programming: R, Python, Matlab, Java, JavaScript, Bash, C, C++, C#
- Frameworks and Libraries: Java Spring, React, Docker, Git, Scikit-learn, TensorFlow, Keras, PyTorch, CUDA, OpenMP, MPI
- Languages: Farsi, English
Work Experience
Full Stack Developer
High-Performance Computing (HPC) Center, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran (2022 – Present)
- Leading the development and maintenance of a web-based platform for researchers to rent computational resources.
- Managing backend development using Java Spring and frontend development with React-based technologies.
- Ensuring seamless integration of file transfer, web-based Bash shell access, and job queue management by customizing open-source tools.
- Utilizing extensive Linux expertise to support the functionality and security of the HPC system.
Bioinformatician
Pardis Gene Genetic Lab, Tehran, Iran (2022 – Present)
- Developing computational tools for HLA typing using R and Linux-based frameworks.
- Implementing bioinformatics pipelines with Nextflow and Cromwell for analyzing real clinical sequencing samples.
- Contributing to research on prognosis and early detection of cancer using cell-free DNA analysis.
Graduate Research Assistant
High-Performance Computing (HPC) Center, IPM, Tehran, Iran (2014 – 2020)
- Conducted research on high-performance computing, leveraging CUDA, MPI, and OpenMP for optimized computation.
- Explored machine learning applications in medical research.
- Led internship programs in web development, machine learning, and bioinformatics.
Graduate Research Assistant
Department of Genetics, Tarbiat Modares University, Tehran, Iran (2017 – 2022)
- Conducted multiple research projects on cancer genetics and molecular biology.
- Analyzed sequencing and gene expression data using R and Linux-based tools, focusing on TCGA datasets.
- Developed an R package and web-based tool, InterOpt, for optimizing PCR-based gene expression normalization.
Graduate Research Assistant
Neuroscience Group, Royan Institute, Tehran, Iran (2017 – 2022)
- Analyzed multi-electrode array (MEA) data using MATLAB and R.
- Developed novel methods for neural signal processing.
- Designed and implemented an online application in C# for real-time communication with multi-channel MEA systems, enabling closed-loop stimulation and recording.
- Worked directly with hardware, integrating stimulation and recording systems for neural experiments.
Honors & Awards
- 3rd Place - National fMRI Data Analysis Competition (NBML, 2020)
- 1st Place - First National fNIRS Data Analysis Competition (NBML, 2021)
- 3rd Place - Iranian Brain-Computer Interface Competition (iBCIC, 2021)
- Best Paper Award - Artificial Intelligence in Medical Imaging Conference (2019)
- 2nd Place - National Master’s Entrance Exam of Universities in Iran (2017)
- 1st Place - MEMOCODE Design Contest, Kanpur, India (2016)
- 2nd Place - MEMOCODE Design Contest, Texas, USA (2015)
Service and Leadership
- IPM Technical Representative in National Supercomputing Network
- Mentor for junior researchers and interns in HPC and bioinformatics