Resume

Professional Experience

A concise overview of leadership, delivery, and scientific impact.

  • Senior Manager / Senior Data Scientist

    Electronic Arts (EA) • 2020 - 2026

    Led global data science teams and enterprise AI transformation at EA, architecting predictive ML and in-house MMM systems that optimized $500M+ in marketing spend, cut customer support handling time by 40%, and unlocked $10M+ in annual revenue opportunities.

    • Global Team Leadership: Managed 6 AI engineers across 5 countries while leading 10–15 parallel projects.
    • $500M+ Spend Optimization: Built in-house MMM solution for top franchises (FIFA/FC, The Sims, Battlefield).
    • Predictive ML at Scale: Engineered weekly ML pipelines scoring 100M+ users for hyper-personalized CRM.
    • Agentic AI & Productivity: Implemented customer service AI automations cutting handling time by 40%.

  • Principal Advisor, Marketing Science & AI

    ELIYA • 2021 - Present

    At ELIYA, a boutique marketing science and AI advisory, I partner with executive leadership at retail and e-commerce brands to design and operationalize advanced analytics capabilities, informing $50M in annual media investment decisions.

    • Lead development of advanced marketing measurement capabilities spanning MMM, causal experimentation and AI-enabled decision support.
    • Expanding ELIYA's measurement practice into offline channels via GeoLift and holdout-based incrementality testing methodologies for TV, radio, and print.

  • Senior Data Scientist & Bioinformatics Expert

    Sophia Genetics • 2016 - 2019

    Developed life-saving clinical ML diagnostic products that enabled 50,000+ cancer diagnoses globally, generated $7M+ in profit, and secured CE/IVD and FDA regulatory approvals through cross-functional healthcare collaboration.

    • 5 Diagnostic Products: Built RNA-seq & Gene Fusion ML tools powering 50,000+ global cancer diagnoses.
    • $7M+ Profit Generated: Directly drove commercial revenue from product conception to full production.
    • FDA & CE/IVD Approvals: Led regulatory compliance in partnership with quality teams, doctors, and lab scientists.

  • Research Scientist

    EPFL & University of Basel • 2014 - 2016

    Developed Bayesian statistical models for high-throughput genomic sequencing and single-cell imaging data at EPFL, while modeling human circadian rhythms via wearable technology and mentoring PhD and Master students.

    • Bayesian Statistical Modeling: Analyzed large-scale Next-Gen Sequencing (Illumina) and single-cell microscopy data.
    • Peer-Reviewed Publications: Authored 5+ papers in top-tier journals on bioinformatics and computational biology.
    • Wearable Data Analytics: Modeled circadian clocks and sleep/wake cycles using continuous wearable data.
    • Academic Mentorship: Trained and supervised PhD and Master students in quantitative methods.

Education

  • PhD in Bioinformatics and Computational Biology

    University of Basel • Basel, Switzerland • 2010 - 2014

    Studied gene regulatory networks and transcription regulation using Bayesian modeling and machine learning to analyze large-scale genomic and transcriptomic data.

  • MSc in Algorithm and Computation

    University of Tehran • Tehran, Iran • 2007 - 2009

    Developed novel algorithms for motif detection in large-scale real-world networks, including social, biological, and publication networks.

  • BSc in Software Engineering

    University of Tehran • Tehran, Iran • 2002 - 2007

    Studied computer programming, operating systems, data structures, discrete mathematics, and software architecture patterns for robust system design.