CV

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Contact Information

Name Sana Younas
Professional Title PhD Candidate in Economics
Email sanayounaseco@gmail.com

Professional Summary

Economist and university educator with a PhD in Economics nearing completion at the University of Portsmouth, and teaching experience at undergraduate and postgraduate levels in the UK and Pakistan. Active research in development economics, energy poverty, machine learning, and global supply chain networks.

Experience

  • 2023 - 2024

    Portsmouth, UK

    Sessional Teaching Fellow
    University of Portsmouth
    • Delivered undergraduate and postgraduate seminars and tutorials in Microeconomics, Macroeconomics, and Applied Economics to diverse international cohorts.
    • Designed, set, and marked assessments to UK Higher Education standards, providing structured written and verbal feedback.
    • Developed inclusive learning materials and blended delivery (face-to-face and Moodle VLE); supported module administration and review.
  • 2019 - 2021

    Islamabad, Pakistan

    Visiting Faculty
    Quaid-e-Azam University
    • Taught Fundamentals of Economics to undergraduate cohorts; designed course materials, delivered lectures and seminars.
    • Set and marked assessments; supervised student research projects; contributed to curriculum planning.
  • 2025 - present

    Portsmouth, UK

    Mentor, Women in Economics Programme
    University of Portsmouth
  • 2025 - present

    UK

    Mentee, Women's Mentoring Programme
    Royal Economic Society
  • 2024 - 2025

    Portsmouth, UK

    PGR Student Representative, Business & Management Cluster
    University of Portsmouth
  • 2026 - 2026

    UK

    Peer Reviewer — Polycrisis and Economic Development in the Global South (book chapter)
    Routledge

Education

  • 2023 - 2026

    Portsmouth, UK

    PhD (expected 2026)
    University of Portsmouth, Faculty of Business and Law
    Economics
    • Thesis: Child Education and Energy Poverty in South Asia: A Capability Approach Perspective.
    • Empirical methods: panel data, IV/2SLS, machine learning, explainable AI, network analysis.
    • All empirical analysis completed; thesis in final writing stage.
  • 2026 - present

    Portsmouth, UK

    Postgraduate Certificate in Higher Education (PGCert HE)
    University of Portsmouth, CADI
    Higher Education Teaching
    • Accredited against Advance HE’s Professional Standards Framework (PSF 2023); leads to Fellowship of the Higher Education Academy (FHEA).
  • 2026 - 2026

    Portsmouth, UK

    GPROF — Graduate Professional Development
    University of Portsmouth
    Teaching & Learning in Higher Education
    • Six-part certified programme covering curriculum design, inclusive pedagogy, assessment strategy, student engagement, and reflective practice.
  • 2018 - 2020

    Islamabad, Pakistan

    Doctoral coursework
    Pakistan Institute of Development Economics (PIDE)
    Economics
    • Advanced training in econometrics and development economics; competitive scholarship.
  • 2014 - 2018

    Islamabad, Pakistan

    MS
    International Islamic University
    Economics
    • Dissertation: Education, Labour Force Participation, and Economic Growth: Panel Data Evidence.
  • 2008 - 2010

    Karachi, Pakistan

    MA
    University of Karachi
    Economics
    • Silver Medal — 2nd position in Economics.

Publications

  • 2026
    Beyond Income: Predicting Household Cooking Energy Poverty in Pakistan for Policy Targeting
    SSRN Working Paper
  • 2026
    Bottlenecks and Bargaining Power in the Global Rare Earth Supply Chain: A Multilayer Network Analysis
    Submitted to Journal of Cleaner Production
  • 2026
    Eldest Child Education and Energy Poverty in Pakistan: Intergenerational Transfers
    Working paper, University of Portsmouth
  • 2026
    Developing and Validating the AI Digital Betrayal Scale (AI-DBS): A Psychometric Instrument for Measuring Student Responses to AI Trust Violations in Academic Settings
    Working paper, under review

Presentations

Certificates

  • ADB Excellerate Programme: Remote Sensing & ML for Poverty Estimation - Asian Development Bank (2026)
  • CEPEO-ADRUK: National Pupil Database - UCL (2025)
  • RES Easter Training School: Environmental Economics - Royal Economic Society, Bristol (2025)
  • Florence School of Regulation Autumn School (selected) - TUM-LARS, Munich (2026)

Skills

Statistical & Econometric Software: STATA, R, Python (scikit-learn, pandas, shap), LaTeX, Git/GitHub
Methods: IV/2SLS, DiD, panel data, propensity score matching, machine learning, explainable AI
Professional Memberships: Royal Economic Society (RES), IAEE, BIEE, IAFFE

Languages

English : Fluent
Urdu : Native speaker