Manuel Teres

Manuel Teres Email and Phone Number

Demonstrator in Statistical Planning and Reinforcement Learning @ Queen Mary University of London
London, GB
Manuel Teres's Location
Glasgow, Scotland, United Kingdom, United Kingdom
About Manuel Teres

I am a PhD student specializing in the intersection of Reinforcement Learning (RL), Generative AI, and Agent-Based Modeling (ABM) to advance financial technology. My work focuses on designing intelligent agents and leveraging state-of-the-art generative models to address complex challenges in financial markets.

Manuel Teres's Current Company Details
Queen Mary University of London

Queen Mary University Of London

View
Demonstrator in Statistical Planning and Reinforcement Learning
London, GB
Manuel Teres Work Experience Details
  • Queen Mary University Of London
    Demonstrator In Statistical Planning And Reinforcement Learning
    Queen Mary University Of London
    London, Gb
  • Queen Mary Machine Learning Society
    Head Of Ai/Ml Education
    Queen Mary Machine Learning Society Oct 2024 - Present
    London Area, United Kingdom
    In this voluntary role, I lead weekly workshops and mentor students on machine learning topics, including deep learning, natural language processing, and reinforcement learning. I provide guidance on projects, assist with coding issues, and foster a collaborative learning environment.
  • Queen Mary Machine Learning Society
    Senior Lecturer
    Queen Mary Machine Learning Society Oct 2024 - Present
    London Area, United Kingdom
    During my weekly lectures, I teach Machine Learning to a group of 20 to 40 students from diverse backgrounds. All of the material from my lectures is open-source and available at: https://github.com/manu-2213/QMUL_MLSociety
  • Queen Mary University Of London
    Demonstrator In Applied Statistics With Python
    Queen Mary University Of London Sep 2024 - Present
    London
  • Queen Mary University Of London
    Phd Researcher
    Queen Mary University Of London Sep 2024 - Present
    Greater London, England, United Kingdom
    Research topics include: GANs, DIffusion Models, Consistency Models, Large Language Models, Reinforcement Learning, Agent-Based Modelling, Option Hedging, and Limit Order Book Simulations.
  • Outlier
    Mathematics Consultant
    Outlier Jun 2024 - Present
    United States
    Design and test mathematical prompts to evaluate AI model performance.Analyze and refine AI-generated responses for accuracy and clarity.Collaborate with AI developers to implement and monitor improvements.Provide mathematical expertise to ensure high-quality, reliable AI outputs.
  • Bd Sport Group
    Betting Cashier
    Bd Sport Group Sep 2021 - Jun 2024
    Glasgow, Scotland, United Kingdom
    Provided exceptional customer service and facilitated betting activities for guests at the Thornton Suite and Members Lounge at Ibrox Stadium.Assisted guests with betting needs, including accepting bets, processing payments, and issuing tickets.Demonstrated in-depth knowledge of betting options, managed cash transactions, and ensured compliance with responsible gambling guidelines.Addressed customer concerns, resolved disputes, and escalated complex issues when necessary.
  • Ca La Nuri Platja
    Waiter
    Ca La Nuri Platja Jun 2022 - Jul 2022
    Barcelona, Catalonia, Spain
    Provided friendly and attentive service at a vibrant Spanish restaurant, ensuring exceptional customer service.Assisted guests with order taking, answered menu questions, and accommodated special dietary requests.Coordinated with kitchen and bar staff for timely and accurate delivery of dishes and beverages, and utilized English skills to assist international guests, personalizing their experience.Recommended daily specials and suitable wine pairings to enhance the dining experience and increase revenue, while maintaining clean and welcoming tables and resolving customer concerns professionally.
  • Self Employed
    Rose Seller
    Self Employed Apr 2018 - Apr 2019
    Barcelona, Catalonia, Spain
    Successfully ran a Rose Selling Business during St. George's Day celebrations in Barcelona for two consecutive years.Acquired necessary permits from the town hall, sourced high-quality roses from reliable suppliers, and set up an attractive street stand.Managed inventory by forecasting demand, handled cash transactions, and maintained accurate sales records.Promoted the business through social media and word-of-mouth, providing excellent customer service to increase sales.
  • Companyia General Carnia
    Factory Worker
    Companyia General Carnia Jun 2018 - Jul 2018
    Barcelona, Catalonia, Spain
    Responsible for ensuring the efficient operation of the meat processing line while adhering to strict quality and safety standards.Duties include:Meat Processing: Working on various stages of the meat production line, which involved tasks such as cutting, trimming, deboning, and packaging meat products according to specified guidelines.Equipment Operation: Operating and maintaining machinery and equipment, such as forklifts.Quality Control: Basic quality control on packaging and issue reporting.Inventory Management: Assisting in inventory management by accurately recording stock levels.

Manuel Teres Education Details

Frequently Asked Questions about Manuel Teres

What company does Manuel Teres work for?

Manuel Teres works for Queen Mary University Of London

What is Manuel Teres's role at the current company?

Manuel Teres's current role is Demonstrator in Statistical Planning and Reinforcement Learning.

What schools did Manuel Teres attend?

Manuel Teres attended Queen Mary University Of London, University Of Glasgow, Quantinsti.

Not the Manuel Teres you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.