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Ionela Georgiana MocanuMachine Learning/ Research Engineer
Profile

I am interested in machine learning/research scientist/engineer roles where I can contribute to project ideas and make an impact. My areas of expertise are reasoning, algorithms and machine learning models. I have UK-settled status and the right to work in Europe. I am available to start working immediately.

Professional Experience
Machine Learning Engineer, Curieo AI (Biomedical Research Platform)
  • •Integrated LLM models into the chat app and performed prompt engineering and testing for various models such as LLAMA-2, FALCON, and BioGPT, MPT.
  • •Performed tests to validate hypotheses on various datasets such as PubmedQA, and MSMarco.
    • 06/2023 – presentRemote, Netherlands
  • •Built a medical search engine using Slade and BERT sentence transformer.
  • •Tech Skills: OPEN API, Azure, JIRA, Github, Javascript, NLP, LLM, microservices, sentence-transformers, prompt engineering, python, torch.
    • AI Research Associate, JP Morgan Chase & Co.
  • •Automated the meeting booking process which reduced the costs of manual workload, by developing an AI Application.
  • •Conducted end-to-end research, from data gathering, exploratory data analysis, hypothesis formulation, running experiments and paper write-up.
    • 03/2021 – 09/2021London, UK
  • •Tech Skills: Python, Numpy, Rest API, JSON, Git, Unix.
    • Teaching Assistant, University of Edinburgh
  • •Created and delivered course content for large groups of up to 380 students.
  • •Broadened technical expertise by tutoring and marking a wide range of courses: Explainable AI (2022), AI Ethics (2021), Mathematics and Probability (2021-2022), Algorithms and Data Structures (2019-2022) and Reasoning and Agents (2018).
    • 09/2018 – 12/2022Edinburgh, UK
  • •Tech Skills: Algorithms, Data Structures, Time Complexities, Optimization, OOP, Bash, Python, C++.
    • Project Supervisor, University of Edinburgh
  • •Proposed AI research project and co-supervised students to successful thesis completion.
  • •Experimental Analysis of Capsule Networks (first grade).
    • 09/2019 – 03/2021Edinburgh, UK
  • •Implicit Learning with Imprecise Data (first grade).
  • •Coordinated the write-up and submissions of 2 follow-up academic publications.
  • •Soft Skills: Research strategies, Leadership, Project Management, Scientific Write-up.
  • •Tech Skills: Artificial Neural Networks, Keras, Deep Learning, Image Classification, Image Segmentation.
    • Research & Development Intern, University of Southampton
  • •Implemented a novel outlier detection algorithm for cyber attacks in Smart Traffic Control.
  • •Tested and improved the attack and defence side strategies to simulate a real-time attack on an actual system.
    • 06/2017 – 09/2017Southampton, UK
  • •Tech Skills: Python, GAN, Algorithm Design, Research, Data Collection.
    • Web Development Intern, Cascoda LTD
  • •Created company website to increase visibility to customers.
  • •Developed user interface design skills and adapted to customer's requirements using Agile methodology.
    • 03/2017 – 05/2017Southampton, UK
  • •Tech Skills: HTML5, CSS, PHP, User Interface Design.
    • Skills
    Programming
    • •Python
    • •Java
    • •C++
    • •C#
    Libraries
    • •PyTorch
    • •TensorFlow
    • •Numpy
    • •Scikit Learn
    Areas of Expertise
    • •Algorithm Design
    • •Optimization
    • •Data Structures
    • •Proof Theory
    Soft Skills
    • •Leadership
    • •Project Management
    • •Effective Collaboration
    • •Scientific Writing
    Education
    Ph.D. Pervasive Parallelism CDT, University of Edinburgh
  • •Thesis: On the learnability of knowledge domains.
  • •Supervisors: Vaishak Belle and Brendan Juba (Washington University in St. Louis).
    • 09/2019 – 03/2023Edinburgh, UK
    M.Sc.R Master of Science by Research in AI, University of Edinburgh
  • •Research Thesis: Implicit learnability in Linear Arithmetic.
  • •Supervisor: Vaishak Belle
    • 09/2018 – 09/2019Edinburgh, UK
    B.Sc. (Hons) Computer Science (First Class), University of Southampton
  • •Dissertation: Modelling quantum algorithms using QuantoMatic.
  • •Supervisor: Pawel Sobocinski
    • 09/2015 – 07/2018Southampton, UK
    Publications
    Knowledge Representation and Acquisition: Reflections on Implicitly Learning to Reason via PAC-Semantics, Under Review at Natural Language Processing Journal

    Ionela G Mocanu and Vaishak Belle

    2023
    On the Learnability of Knowledge in Multi-Agent Logics, In the 8th Federated Logic Conference FLOC 2022 KR Doctoral Consortium.

    Ionela G Mocanu*, Vaishak Belle and Brendan Juba

    2022
    Breaking CAPTCHA with Capsule Networks, Neural Networks Journal

    Ionela G Mocanu*, Zhenxu Yang and Vaishak Belle

    2022
    Recent Studies of XAI - Review, In the 4th Workshop on Fairness in User Modeling, Adaptation and Personalization FairUMAP2021.

    Zhongli F Hu*, Tsvi Kuflik*, Ionela G Mocanu*, Shabanam Najafian* and Avital Shulner-Tal*

    2022
    Implicitly Polynomial Learning with SMT, In 24th European Conference in Artificial Intelligence Frontiers in Artificial Intelligence and Applications ECAI 2020. Previously presented at FMAI workshop 2020 and TAILOR 2020.

    Ionela G Mocanu*, Vaishak Belle and Brendan Juba

    2020
    Volunteering
    Mentor, EUWiSTEM Mentorship Scheme, University of Edinburgh
    09/2021 – 09/2022
    Certified Mental Health First Aider, Informatics School University of Edinburgh
    05/2021 – 05/2022
    Student Representative, Committee University of Edinburgh
    09/2018 – 02/2022
    STEM Ambassador, Informatics School Tutoring Scheme, Edinburgh UK
    09/2019 – 03/2020
    Awards
    Student Scholarship, International Conference of Logic Programming
    2023
    Mentoring Workshop Scholarship, Federated Logic Conference
    2022
    Leadership in Students Associations Award, University of Edinburgh
    2022
    The Volunteer Award, University of Edinburgh
    2021
    Student Tutor of the Year 2021 Nominations, Edinburgh Teaching Awards
    2021
    Fostering Community (Society) Award, Edinburgh University Student Association
    2021
    Center of Doctoral Training Scholarship in Pervasive Parallelism 2018-2022, Engineering and Physical Sciences Research Council (EPSRC) at University of Edinburgh
    2018
    Employee of the Year Nomination, University of Southampton
    2017