Our Community

Audio Engineer, Composer, Tech-Philosopher. Reinhardt, Esther Fee (2025): Die Gegenüberstellung menschlicher Kreativität und generischer Musikproduktion. In: Simon Sievers, Sophie Pfaff und Katherine Heid (Hrsg.): Jahrbuch für Kulturpolitik 2023/24: Kultur(en) der Digitalität, S. 263–269. Bielefeld: transcript Verlag, Feichtner, Esther Fee (2023): Single Musical Instrument Recognition– A Solved Problem? (Dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg, Deutschland). , ChromaTone - Proof of Concert https://www.youtube.com/watch?v=67et6pSXXeQ.

Machine Learning Researcher | MSc. in Artificial Intelligence. Machine Learning Engineer, passionate about solving real and critical problems to make an impact | Love for musical instruments - My first musical instrument, which I learned, was the ukulele. Not an expert, but whenever time allows, I spend time playing my guitar. GymLens -- https://github.com/YadavAkash96/XR_RAG_LLM -- Scan Gym machines/ equipment and give recommendations how to use them | Ride Recommendation System @ uRyde, Match passenger and drivers based on experiences and preferences.

I am a visually impaired lyricist enrolled at the Technical University of Munich studying AI in Society. One of my hobbies is putting out songs use AI Music Platforms and original lyrics under the moniker "blindvisionn".

Computer Science Student, AI Researcher, Musician. First Co-Founder of Munich Music Labs. Currently a Computer Science student at TUM and an AI researcher passionate about applying AI to automotive and music. Musician (trumpet, vocals, and some piano), alumnus of a second-level music school, and former member of several brass and symphonic orchestras as well as choirs. Sports enthusiast who enjoys the gym, long-distance cycling, and healthy cooking. **Neural Network for Musical Data Mining for Phrase Boundary Detection** (https://ieeexplore.ieee.org/document/10371997) My first small research attempt to combine music and AI, my two biggest passions. **The Lion King by Elton John & Hans Zimmer Orchestral Medley** (https://www.youtube.com/watch?v=MOlTGzrEsGM&list=RDMOlTGzrEsGM) One of my many music performances, this one as a trumpeter in the school symphonic orchestra, recorded by the Warsaw Academy of Film and Television. **Voice Assistant for Autonomous Racing Cars** One of my latest projects, in collaboration with TUM Autonomous Motorsport.

Machine Learning scientist with background in signal processing focusing on audio, music, and voice applications. shreyanc.github.io/resume.

I’m a curious person who enjoys learning new things and working on interesting ideas with others. I like experimenting, asking questions, and seeing where projects go. Always happy to collaborate and build cool stuff together. Parameter-Efficient Fine-Tuning of EEG Foundation Models for Plug-and-Play Motor Imagery BCIs (under review): Research paper on few-shot personalization of EEG foundation models using LoRA for efficient motor-imagery decoding. Machine Learning for Credit Card Fraud Detection: Peer-reviewed study comparing machine learning models for fraud detection under severe class imbalance. TriglavTactician - Chess Engine (C++): A UCI-compatible chess engine implemented in C++ using bitboards and alpha-beta pruned Negamax search.

Electrical and Computer Engineering Student. Master's student specializing in signal processing, communications and audio technology. Motivated by the desire to make the world a better place. Music and language enthusiast.

Undergraduate computer science student and researcher. I'm an undergraduate student at George Mason University, interested in MIR and music representation learning, as well as parallelized computing in general. github.com/Gorp5/ContrastiveMusicLearning.

Electronic engineer, Music Reeearcher. Music Technologist focused on preserving Colombian Music through Technology and AI, driving innovation and creativity in the music industry. https://www.instagram.com/bahareque.beats?igsh=dm0zaDdvcXUxdzVu.

Mathematics Student. My interests center around mathematics, which influences how I think, learn, and approach challenges. I have a deep appreciation for classical music, valuing its structure, discipline, and expressiveness. I’m also passionate about technology and enjoy staying curious about new developments and how they intersect with analytical and creative fields. AI Agent for playing Xiangqi using Reinforcement Learning (Link: https://xiangui.netlify.app/). Description: Trained the baseline AI agent from scratch for Xiangui game and is based upon Google DeepMind's AlphaZero architecture.

Computer Science and AI student, Guitarist, Music Composer and Producer, Songwriter. I am a Computer Science and AI student with professional Full-Stack Experience and my main area of interest is ML/AI. My semi-professional artistic experience includes composition, arrangements, voice-overs, playing guitar, piano, flute and singing. Artist I'm currently working with as a composer/aranger/audio engineer: https://www.youtube.com/channel/UC2tVj5oUdlbK0dbkEmmC35Q. My own former band: https://www.youtube.com/@VNIZ69. My GitHub profile (a lot of different interesting stuff and my thesis project coming soon): http://github.com/SerZeliuk.

Music Researcher.

MSc Robotics Student. I am a Robotics Master's student at TUM with a background in Mechanical Engineering and drumming. I am passionate about applying my engineering knowledge for creative projects. Live Drum Performances in Turkey, Control of Inverted Pendulum on a Cart as Graduation Project

Computer Science & Music Student. With a dual background in computer science and music, I'm a student researcher focused on generative models and cultural preservation at the intersection of AI and music. As a classically trained pianist who won gold in an Iranian provincial competition, I bring both analytical rigor and artistic expression to my work—driven by a passion for bridging science and art to discover new creative possibilities. 1. Symbolic Music Generation for Iranian Classical Music Using GNNs Link: https://drive.google.com/file/d/1-YS36LrBoB6ZtLy7n9DfMtiCx2rqLrWg/view?usp=sharing Description: A research statement exploring the use of graph neural networks (GNNs) to model and generate symbolic representations of Iranian classical music; the full paper is currently in preparation and scheduled for publication in Spring 2026. 2. Solo Piano Performance – Liszt: Gnomenreigen Links: https://drive.google.com/file/d/14CL9ztswOugaevMmZGCBJco8mLdgwDcd/view?usp=sharing https://drive.google.com/file/d/1OOlKNaCbughBxZxXE4hTIL0uKAfSGaBp/view?usp=sharing Description: A high-precision solo piano interpretation of Liszt’s Gnomenreigen, demonstrating expressive performance and technical mastery, which led to being awarded first place in the Iranian National Piano Student Championship during high school. 3. When Math Meets Life: Unraveling the Secrets of Biology Through Computation Link: https://zenodo.org/records/15804888 Description: A computational biology paper introducing mathematical and algorithmic frameworks for understanding complex biological systems; one of my earliest and most formative published research projects on Zenodo.

Audio ML Researcher. I am a musician and an audio tech student with an inclination towards philosophical ideas. I enjoy singing, travelling, reading and watching football. Nice to meet you :). https://vvk-mhn.github.io/portfolio/

Law Student. I am a law student at LMU Munich with international experience from research and cross border work in Japan and Germany. Music has always been part of my life and I have played drumset for many years, which shapes how I approach creative projects. At Munich Music Labs I contribute by applying my legal knowledge and strategic perspectives to support and advance our music focused initiatives.

Automotive Engineering Student and Bass player. Creative with passion. Project: Touchless household control system with gesture recognition. Use Phoenix's PLC products to build home models and realise contactless gesture control home, such as light switches, curtain lifting, drawer switches and other functions.

RCI(Robotics, Cognition, Intelligence) student. I am a fast learner, highly motivated to acquire new knowledge, and enjoy tackling complex problems. Music releases (Gute Nacht) https://music.163.com/#/song?id=2066963438

I did my bachelors in Computer Science and now currently doing my masters in Data Science with major in AI. I am also working as a student in SIEMENS AG. I am currently a masters student in Data Science and AI. I like exploring new hobbies and meeting new people. I love football and I also sometimes play ukulele. https://uddipan77.github.io/portfolio_Uddipan/

Sound Engineer. I’m a sound engineer, drummer, and producer who later found my way into IT product management. I’ve worked with teams at AI for Anyone, Native Instruments, and GEMA/MusicHub, which gave me a mix of music and tech experience. I enjoy working where music, AI, and new digital ideas come together. Podcast Producer "AI For You": https://podcasts.apple.com/us/podcast/facial-recognition-where-do-we-go-from-here/id1519334611?i=1000526748184 - El Búho x M.RUX - Cancuban: https://www.youtube.com/watch?v=_ZLb9WGCWjA - 3hr Song Session #2 - MusicHub Community: https://www.youtube.com/watch?v=DZ7chXLDvmU&t=66s

Software Engineer & Music Technologist. Dually trained in both music and computing, Jeffrey is a music tech ninja! Broadly, his interests involve AI tools that empower creators and audio technology with social impact. Most recently, he's been working on AI-assisted music composition at Cai (cai.audio).

Audio AI Engineer. Audio AI Engineer with 3+ years of experience building and deploying scalable AI solutions. Skilled in developing, fine-tuning, and evaluating audio deep learning models for MIR and audio synthesis. . After finishing an M.Sc. student in Sound and Music Computing (AI and Music Data Science) at Queen Mary University of London, I am now seeking to leverage my expertise to tackle complex challenges in dynamic Audio AI focused research projects. 1. Piano denoising system(Thesis Project): Developing a piano denoising system by fine-tuning and quantizing the HTDemucs a transformer source separation model to isolate clean piano signals from noisy recordings, on live audio at low latency. 2. BeatTCN: TCN-Based ONNX Beat and Down beat Detection with 94.92% Accuracy on the Ballroom dataset 3. EmotionFace CVAE: A Multimodal Framework for Emotion-Conditioned Facial Image Generation with evaluation done using Facenet's MTCNN

Director Product Governance (Safety, Security, AI) at ZF, Automotive supplier. Leader, engineer, expert in automotive safety & cybersecurity - now pursuing agentic AI projects. Passionate musician: choir, a-cappella, clarient, piano, composition.Entrance song for the European Chessboxing Champion, 2022: https://youtu.be/9Zk25pgfJOc; large-scale vehicle software projects (braking, slip control) @ZF; various opera and musical performances, e.g. Der Fliegende Holländer (2012), The Fantasticks (2013), Barca di Venetia per Padova (2025).

Statistics and Data Science Student. I am an AI enthusiast who loves exploring how intelligent systems shape the future. In my free time, I enjoy discovering indie music and playing the keyboard as a hobby. 1. Book Recommender System - Takes any book that user has read as an input and gives recommendation based on 2023 NYT bestsellers. Link - https://huggingface.co/spaces/sameerrawat07/NYTbestseller 2. Civil Law assistant - A RAG based assistant which can give advice in context to Indian Civil Laws while citing sources. Link - https://huggingface.co/spaces/sameerrawat07/legalAI 3. AI Travel Planner - a supervisor based multi-agent travel planner that automatically generates complete itineraries. Link - https://github.com/SameerR007/travelAgent.

Machine Learning R&D Engineer, Researcher, Composer. Engineer and musician based in Luxembourg, with 6+ years of experience working at generative music AI startups. Prior to (and even after) transitioning into industry, I was active in academia in the US, Korea, and Japan. My music has been commercially released on the New Focus, Carrier, and Innova labels. https://www.lxsigman.com.

Media Computer Science Student. I am student with a strong interest in the technical foundations of computational audio and vision. My focus is on understanding and building systems that improve human-AI interaction. YouTube-chord-midi-extractor: https://github.com/kaiuu75/youtube-chord-midi-extractor Soundcloud: https://soundcloud.com/user-182930345?utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing.

AI Student & Strategist. Hi! My name is Leonardo and I am currently finishing my Masters in "AI in Society" at the Technical University of Munich. I enjoy going for hikes and playing neoclassical piano solos. Other music genres I like listening to are Indie, Rock and R&B. You can listen to my music on any streaming platform here: https://linktr.ee/LeonardoDiSaya.

Multimodal AI Researcher. I am a researcher working at the intersection of multimodal machine learning, generative audio, and human-centered language technologies. My background spans music source separation, MIR, and LLM-driven interaction modeling, supported by years of professional work as a music producer. I focus on creating AI systems that expand creative expression while remaining transparent, controllable, and aligned with real users. Hybrid Demucs with Self-Knowledge Distillation [link: https://github.com/spear011/mss-pskd] [Desc: Applied Progressive Self-Knowledge Distillation (PS-KD) to fine-tune the Hybrid Demucs baseline model on stereo-mixed music with HRTF characteristics for the Cadenza Challenge 2024; ranked in the Top 5 globally.] MIDI-Metadata-Extractor [link: https://github.com/spear011/MIDI-metadata-extractor] [Desc: This tool segregates break down a multi-track MIDI file into individual instrument tracks, extract detailed metadata for each track, and provides the flexibility to truncate and save tracks based on a specified number of measures.] Musician Profile [Link: https://www.youtube.com/@shahardy] [Desc: 4 songs featured in Spotify’s K-pop Editorial Playlists, with over 800,000 streams in 96 countries.]

Data Scientist. I'm a data scientist and master's student who finds inspiration in travel, music, and the nature. Context-based Q&A generation - final-year thesis, Daliware - https://github.com/Project-Daliware/daliware, Fon Limanı - https://github.com/Fon-Limani/Fon-limani-website.

Economics & Management Student. Master's student in Management & Technology at the Technical University of Munich, combining analytical and technological thinking with a strong passion for entrepreneurship. Previously studied Economics at LMU Munich and gained practical experience in consulting and venture capital, particularly in the pre-seed stage. Close connection to music and a love for singing.

Electrical Engineering and Information Technology Student, AI Researcher. I'm an electrical engineering student who likes exploring new areas and is interested in AI, medicine, finance, and the automotive industry.

MSc in Technology and Management with focus on computer engineering and entrepreneurship, AI enthusiast. I'm fascinated by the messy, exciting intersection of technology, creativity, and human curiosity. With a background in tech and a growing focus on artificial intelligence, I'm particularly interested in how AI can reshape creative expression — from music and storytelling to new forms of digital collaboration. I enjoy experimenting with emerging tools, organizing creative communities, and exploring how technology can empower artists rather than replace them. At Munich Music Labs, I'm excited to contribute to a space where musicians, technologists, and researchers come together to imagine the future of music.

Economics. I am a fourth-semester Economics student with a strong interest in the intersection of music and technology. My desire to combine these fields using AI is the reason I joined MML. Conducted an econometric analysis in R to evaluate the impact of remote work across various industries using multiple regression models.