Seyed Soheil Raeisossadati

About Me

A student at the University of Tehran pursuing a major in Computer Science and a minor in Music, with a keen interest in the intersection of science and art, particularly focused on the application of artificial intelligence in fields such as music, biology, and optimization

A professional athlete who won the 100-meter dash at the university's annual student sports festival and has also competed at the state level as a member of the university's track and field team, bringing honor to his university's name among the top universities in Iran

A classical pianist who won a gold medal in an Iranian provincial student competition during his high school years, showcasing both technical skill and emotional depth in his performances, and underscoring the passion that guides him at the intersection of science and art

Education

Bachelor of Science in
Computer Science (Major)

University of Tehran (QS ranking)

September 2021 - July 2026 (expected)

Bachelor of Arts in
Music (Minor)

University of Tehran (U.S.News ranking)

February 2023 - July 2026 (expected)

Experience

Professional Journey and Research Work

Research Experience

Researcher

November 2025 - Present

Munich Music Labs

Selected as the sole representative from Western Asia among top global applicants worldwide to join the Research Department

About Munich Music Labs:

Munich Music Labs is the first student initiative at Technical University of Munich (TUM) bridging the gap between Artificial Intelligence and Music, pioneering interdisciplinary research at the intersection of technology and creative arts.

Roles & Contributions:

Communication Team Volunteer — Contributing to outreach, content creation, and community engagement to promote the intersection of AI and music research.
Research Team Member — Collaborating on cutting-edge projects exploring the application of AI technologies in music analysis and generation.

Current Research Project:

Working on Automatic Music Transcription (AMT) using foundation models — developing AI systems capable of converting audio recordings into musical notation by leveraging state-of-the-art deep learning architectures.

Key Technologies:

Foundation Models & Transformers
Audio Signal Processing
Deep Learning for Music Information Retrieval
Spectral Analysis & Feature Extraction

Project Goals:

Developing robust AMT systems that can accurately transcribe polyphonic music, handling multiple instruments and complex musical structures through the power of foundation models and transfer learning techniques.

Ongoing Research — Actively contributing to both the Communication Team and AMT research project with the team.

International Forum Participation

World Youth Festival Assembly 2025

Summer 2025

Nizhny Novgorod, Russia

Selected from among 60,000+ applicants across more than 150 countries to represent Iran in the Digitalization and IT track at the World Youth Festival Assembly 2025, which was held in September in Nizhny Novgorod, Russia.

Key Sessions I participated in:

Digital Sovereignty — Architectures and strategies for national digital resilience
City 2030: AI vs Human Habits — Examining AI's transformative impact on behavior, society, and ethics
The Evolution of Visual Communication — Exploring AR, VR, the metaverse, and digital twins
Supercomputers & New Computing Capabilities — Advancing 6G, large-scale AI, and the human–machine balance
Cybersecurity and AI — Developing legal frameworks for zettascale computing
Digital Technologies in Education — Transforming learning through emerging technologies

Pitch Session Presentation:

Presented my ongoing Music AI project — a research initiative that uses AI to preserve endangered Persian musical traditions.

Impact & Skills Developed:

This cross-cultural experience deepened my expertise in AI-driven creativity and digital transformation, while enhancing essential skills in networking, international collaboration, research, and cross-cultural communication.

Beyond the formal sessions, the most enriching aspect of this journey was building new friendships and engaging in meaningful exchanges of ideas with people from diverse cultures — all united by a shared vision for creating a better world.

Student Ambassador Program

Perplexity Campus Partner

September 2025 - November 2025

Perplexity AI

Remote

Selected among top global applicants to represent Perplexity AI as a Campus Partner for the Fall 2025 cohort, promoting AI-driven innovation and knowledge tools within the academic community.

Key Responsibilities:

Promoting Comet, Perplexity's next-generation agentic AI browser, and introducing it to students at the University of Tehran
Engaging the academic community in exploring AI-driven research and knowledge tools through workshops, outreach, and creative campaigns
Collaborating directly with the Perplexity team on marketing challenges, product feedback, and referral initiatives to expand brand presence
Developing outreach, communication, and growth strategies to expand Perplexity's presence in academic environments
Fostering awareness of ethical AI adoption and responsible technology use among students and faculty

Benefits & Recognition:

Received 1-year Perplexity Pro membership and early access to Comet for research and promotion purposes

Impact:

Successfully bridging the gap between cutting-edge AI innovation and the academic community at the University of Tehran

Skills Developed:

Community Engagement Digital Communication Innovation Strategy Leadership Strategic Communication Technology Advocacy

Publications

When Math Meets Life: Unraveling the Secrets of Biology Through Computation

July 2025

A review of how mathematics and computer science address biological complexity, highlighting stochastic models, machine learning (CNNs, perceptrons), and protein-folding solutions.

Key Methodologies:

Stochastic Modeling — Used to represent and analyze the inherent randomness of biological systems, from molecular interactions to population dynamics.
Machine Learning & Neural Networks — Focused on perceptrons, convolutional neural networks (CNNs, and activation functions to process complex biological data and reveal hidden patterns within large-scale datasets.

Noteworthy Findings:

Demonstrated the effectiveness of AlphaFold's deep learning architecture in accurately predicting protein folding, providing unprecedented insights into protein structure, function, and the molecular basis of diseases.

Research Impact:

This review highlights the deepening two-way relationship between mathematics, computer science, and biology—an interdisciplinary synergy that accelerates discoveries in medicine and neuroscience while ultimately enhancing the quality of human life.

Limitations:

Acknowledged the heavy dependence on computational power and data availability, which can constrain the scalability and reproducibility of complex biological simulations and deep learning models.

Professional Experience

Student Internship in Software Engineering

Fall 2024

Skill General Department of Tehran University

Co-developed a digital parking management system that automates vehicle tracking and fee collection for a 100-space parking facility.

Relevant Coursework

Fundamentals of Mathematics A, 4/4

Core mathematical principles and techniques essential for computer science and engineering.

Advanced Programming A, 4/4

In-depth study of programming concepts, algorithms, and software development practices.

Logic for Computer Science A, 4/4

Fundamental logic principles applied to computer science theory and practice.

General Biology A, 4/4

Introduction to biological concepts and systems relevant to life sciences.

Non-Linear Programming B, 3/4

Study of optimization techniques for non-linear systems and applications.

Discrete Mathematics B, 3/4

Mathematical structures and techniques for computer science applications.

Persian Music Theory B, 3/4

Study of traditional Persian music theory and its applications.

Film Music Studies B, 3/4

Analysis of music in film and its impact on storytelling.

Selected Course Projects

Advanced Programming General Biology Non-Linear Programming Discrete Mathematics Theoretical Foundations Iranian Music History of Persian Music Data Structures and Algorithms Data Mining Principals of Computer Systems Scientific Computing

Skills & Expertise

Technical Proficiencies & Development Tools

Programming Languages

C++ Development

Experienced in C++ versions 11, 14, 17
Object-Oriented Programming
Multithreading
Socket Programming

Python Development

Object-Oriented Programming
Data Science: NumPy, Matplotlib, Pandas
Machine Learning: PyTorch, TensorFlow, Keras
Web Scraping: Selenium, Beautiful Soup, Requests
Front-end Web Development : HTML, CSS, JavaScript

Additional Languages

MATLAB: optimization methods & mathematical programming
Assembly language and Logisim tool
ABC notaion: musical notaion for computers

Development Tools & Environment

Development Practices

Version Control System: Git
DevOps, Agile, Axiomatic Design methodologies
Team software development

Development Environments

IDEs: VS Code, PyCharm, CLion, Trae
Tools: Google Colab, LaTeX, IBM SPSS
Qt Tools: Qt Creator, Qt Designer, QML

Systems & Software

OS: Arch Linux, Linux Mint, Ubuntu, Windows
AI platform: Blackbox AI, Google AI Studio, Melobytes
Music: Sibelius, MuseScore, LilyPond

Creative: CapCut, Picsart Pro, Gamma

Honors and Awards

Certificate of Completion for the online, non-credit Specialization in the Introduction to Generative AI Learning Path Certificate of Participation in Axiomatic Design and Axiomatic Software Architecture workshop Certificate of Attendance for Lectures on Modern Topics in Applied Mathematics Certificate of Participation for How to Be a Better Teaching Assistant

Awarded Undergraduate National Scholarship (Tuition Waiver) Ranked within the top 1% among 127,000 students in a highly competitive national university entrance examination

Get in Touch

I'm always open to connecting. Feel free to reach out through any of these platforms.

Seyed Soheil Raeisossadati

About Me

Education

Bachelor of Science in Computer Science (Major)

Bachelor of Arts in Music (Minor)

Experience

Research Experience

Researcher

About Munich Music Labs:

Roles & Contributions:

Current Research Project:

Key Technologies:

Project Goals:

International Forum Participation

World Youth Festival Assembly 2025

Key Sessions I participated in:

Pitch Session Presentation:

Impact & Skills Developed:

Student Ambassador Program

Perplexity Campus Partner

Key Responsibilities:

Benefits & Recognition:

Impact:

Skills Developed:

Publications

When Math Meets Life: Unraveling the Secrets of Biology Through Computation

Key Methodologies:

Noteworthy Findings:

Research Impact:

Limitations:

Professional Experience

Student Internship in Software Engineering

Project Overview:

Technical Stack:

Skills Developed:

Relevant Coursework

Selected Course Projects

Skills & Expertise

Programming Languages

C++ Development

Python Development

Additional Languages

Development Tools & Environment

Development Practices

Development Environments

Systems & Software

Honors and Awards

Get in Touch

Direct Contact

Professional Networks

Get in Touch

Bachelor of Science in
Computer Science (Major)

Bachelor of Arts in
Music (Minor)