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Arsalan D
@adejkam
Großbritannien
Englisch, Persisch
Über mich
Ph.D. in Artificial Intelligence and machine learning specialist with years of experience in academia, industry, and leadership roles, specializing in delivering data-driven solutions and insights to drive business value. Proven success in leading diverse teams, driving data visualization, predictive analytics, and ensuring the development of data-enabled solutions. Adept at leveraging machine learning, deep learning, and multi-agent systems to extract actionable insights.
Kompetenzen
Arsalan D
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Maschinelles Lernen
I will develop your required machine learning pipeline
Arbeitserfahrung
UCL
Vollzeit • 2 yrs 1 mo
Research Fellow
Oct 2025 - Present • 7 mos
In my current UCL project on Huntington’s disease, I design robust pipelines to harmonise multi-study data (clinical, imaging, biomarker) into unified frameworks aligned with standards such as CDISC (SDTM/ADaM-inspired models). This enables reliable downstream analytics, machine learning, and regulatory-ready data structures. I work with Python (Pandas, NumPy, PyMC, scikit-learn), R (ELISAtools), and Streamlit dashboards, alongside Git & DVC for reproducible data pipelines. My expertise includes statistical modelling (longitudinal analysis, changepoint detection), feature engineering, and building interactive tools for data validation and exploration. Accordingly and based on these unique experiences, I can support you from raw data assessment and harmonisation to advanced modelling and insight generationensuring your data is not just processed, but truly usable for research and decision-making.
Research Fellow in Applied Machine Learning
Apr 2024 - Oct 2025 • 1 yr 6 mos
I help organisations turn complex movement and behavioural data into actionable insights using advanced AI. In my work at UCL, I designed and implemented Reinforcement Learning (RL) and Inverse Reinforcement Learning (IRL) models to understand and predict population mobility patterns under real-world constraints such as policy interventions and environmental changes. From data ingestion to deployment, I build end-to-end solutions that simulate decision-making processes and optimise strategies for urban planning, transport systems, and public health. My technical stack includes Python, PyTorch, NumPy, Pandas, and scalable training pipelines using multi-GPU setups. I have developed custom RL architectures (policy networks, AIRL frameworks), integrated probabilistic modelling, and engineered feature pipelines for time-series and spatial data. Whether you need a proof-of-concept, model development, or full deployment-ready systems, I can translate your data into intelligent, decision-making tools.
