Data Scientist | Seeking PhD in Healthcare AI | Deep Learning & Time Series
🇬🇳 Guinea → 🇸🇳 AIMS Senegal 📧 mamady.konate@aims-senegal.org • 🔗 LinkedIn
I'm focused on applying ML to healthcare challenges—especially for places where access to good healthcare is limited.
Right now:
- 💼 Developing mobile apps for medical claims at Teliya Santé (health insurance, Guinea)
- 🔬 Applying deep learning to time series forecasting with uncertainty quantification
- 📊 Training models that know when they don't know (because in healthcare, that matters)
Recently:
- 📝 Submitted thesis work to Frontiers in Environmental Science (under revision)
- ✅ Earned 4 WorldQuant University certifications in deep learning (RNNs, LSTMs, GANs, VAEs)
- 🎓 Master's (Distinction) from AIMS Senegal with focus on uncertainty quantification
I'm not just interested in ML—I'm obsessed with applying it to medicine.
Growing up in Guinea, I've seen firsthand the challenges of limited healthcare access and infrastructure. This drives my focus on building AI systems that work in real-world conditions—not just in well-funded hospitals with perfect data.
My mission: Build AI systems that are trustworthy and practical—systems that work in clinics with limited resources, for populations that are often overlooked in mainstream AI research.
ML/DL: PyTorch • TensorFlow • scikit-learn
Sequence Modeling: RNN • LSTM • GRU • Transformers
Generative AI: GANs • VAEs • Autoencoders
Time Series: ARIMA • N-BEATS • N-HiTS
Computer Vision: YOLO • Transfer Learning
Languages: Python • SQL • Kotlin
Tools: Docker • Git • MLflow • Jupyter • VS Code
Master's Thesis | AIMS Senegal
Built deep learning models to predict water levels in the Senegal River (Bakel station).
- 📊 Analyzed 21,000+ daily observations (1960-2018)
- 🧠 Compared ARIMA vs. neural architectures (LSTM, N-BEATS, N-HiTS)
- 📈 Developed residual-bootstrap prediction intervals for uncertainty
- 📝 Publication under revision at Frontiers in Environmental Science
Why it matters: Climate resilience for communities vulnerable to flooding.
Teliya Santé | Current
Kotlin Multiplatform mobile app for medical advisors to validate insurance claims.
- 🏥 Healthcare tech improving insurance operations in Guinea
- 📱 Cross-platform (Android/iOS)
Logidoo | 2024-2025
YOLO-based prototype for automated parcel dimension analysis.
- 📦 Built end-to-end ML pipeline (data → training → deployment)
- 🐳 Deployed with Docker
MTN Guinea | 2022
Data analysis and geolocation support for telecom operations.
- 📈 Analyzed behavioral data for retention strategies
- 🗺️ Provided geolocation support for law enforcement
M.S. in Mathematical Sciences (Distinction)
AIMS Senegal, 2023-2025
B.S. in Software Engineering
Gamal Abdel Nasser University, Guinea, 2016-2020
Additional Training:
- Cambridge Centre for AI in Medicine Summer School (September 2025)
WorldQuant University Certifications:
- Deep Learning Fundamentals - Intermediate (2026)
- Deep Learning Fundamentals (2025)
- Deep Learning for Computer Vision (2025)
- Applied Data Science Lab (2024)
I don't just want to build models that perform well on benchmarks. I want to build systems that actually help people.
I'm drawn to problems where:
- The stakes are high (healthcare, climate)
- The data is messy (real world)
- The resources are limited (most of the world)
I love understanding how things work "sous le capot" (under the hood). Not just applying methods, but really grasping the fundamentals.
Open to:
- PhD opportunities in Healthcare AI
- Research collaborations on time series + uncertainty quantification
- Projects with real-world impact
Reach me:
- 📧 mamady.konate@aims-senegal.org
- 💼 Based in Guinea 🇬🇳
"Building AI systems that work for everyone, not just the well-resourced."