Fernando Acero
Professional Summary
Fernando Acero is an AI Research Scientist at J.P. Morgan based in London, England. He is also a PhD Candidate in the Foundational AI CDT (Centre for Doctoral Training) at University College London (UCL). His research focuses include robotics, machine vision, and artificial intelligence.
Current Role
- Position: AI Research Scientist at J.P. Morgan
- Responsibilities: Engages in advanced artificial intelligence research, contributes to innovative projects within the AI domain, and collaborates on research publications.
Academic Background
- PhD Candidate at University College London (UCL)
- Specialized in machine learning for robot control.
- MEng in Aeronautics with Spacecraft Engineering from Imperial College London
Professional Experience
- Founding Engineer at Drone Startup
- Specialized in control, perception, and autonomy.
- Research Scientist at Amazon
- Focused on analytics and insights.
- Research Scientist at Dyson
- Worked on deep reinforcement learning for robotics.
- Current Role: AI Research Scientist at J.P. Morgan
- Contributing to the Artificial Intelligence Research group.
Recent Publications and Achievements
- Paper on AI in Finance published in the AAAI 2024 Workshop.
- Co-authors include Parisa Zehtabi, Nicolas P. Marchesotti, Michael Cashmore, Daniele Magazzeni, and Manuela Veloso.
- Publication on Reinforcement Learning:
- "Accelerating Cutting-Plane Algorithms via Reinforcement Learning," co-authored with Kyle Mana and Stephen Mak (March 2024).
Interests and Research Areas
- Robotics
- Machine Vision
- Artificial Intelligence
- Machine Learning for Robot Control
Online Presence
- LinkedIn Profile: [Fernando Acero on LinkedIn](https://uk.linkedin.com/in/fernandoacero)
- Active on professional networks, sharing insights on robotics and AI.
Notable Contributions
- AI Research Contributions:
- Published several papers in reputed AI workshops.
- Work focuses on practical applications of AI in finance and robotics.
Affiliations
- Member of the team at The Creator Fund.
- Experience in startup environments, including pivotal roles in engineering and research.
Additional Information
- External Research Collaborations:
- Published across various esteemed platforms and journals.
- Engaged in interdisciplinary projects within AI and robotics.
This detailed profiling of Fernando Acero emphasizes his significant contributions and expertise in AI and robotics, making him a valuable contact within the innovation-focused landscape of J.P. Morgan. His academic and professional background, coupled with ongoing research, positions him as a leading figure in the AI research community.
