CV

WORK EXPERIENCE

  • Intuit, Inc.

    • Staff Data Scientist (2021/2 - present)

      • Leading machine learning projects for identity and financial fraud prevention.

      • Mentoring junior team members.

    • Senior Data Scientist (2017/7 - 2021/1)

      • Developed new and enhanced machine learning models for real-time fraud detection.

      • Developed novel sampling techniques to avoid biases when training models on time-series data.

      • Contributed to the development of a central platform for real-time featurization with stateful aggregations on input data streams using Scala, Spark, and Redis, resulting in a patent filing.

  • Stanford University

    • Research Assitant (2011/9 - 2017/6)

      • Conducted academic research in the field of earthquake physics, using high-precision GPS data and physical models to study how the earth’s crust deforms before, during, and after earthquakes.

      • Analyzed GPS position time series from 1000 sites throughout Japan, measuring daily positions for 15 years (∼20 million data points). Modeled and removed short-term, spatially correlated trends and detected statistically significant long-term trends that were spatially coherent.

      • Analyzed space-time patterns of 1000s of small earthquakes in Japan. Applied statistical tests to detect trends in the recurrence times of sequences of collocated (“repeating”) earthquakes.

      • Developed tools for performing Bayesian inference and uncertainty quantification using Markov-chain Monte Carlo (MCMC) methods and applied them to a variety of linear and nonlinear inverse problems with different priors and/or bound constraints.

  • Splunk, Inc.

    • Data Science Intern (2016/5 - 2016/8)

      • Developed a graph-based model for detecting unknown malware in firewall logs (billions of events) using behavioral patterns in network traffic and label propagation from a smaller set of known malware.

      • Used Python for initial data exploration, then Scala and Spark for at-scale feature engineering, graph processing (using GraphX), and final end-to-end pipeline.

      • Achieved a detection rate that was 3 times higher compared to the baseline.


EDUCATION

  • Ph.D., Geophysics, Stanford University (2017)

    • Thesis title: "Long-term decrease in plate coupling prior to the 2011 Tohoku earthquake: Insights from GPS and seismicity data and physics-based models".

    • Advisor: Prof. Paul Segall

    • Cumulative GPA: 4.08/4.00

  • M.S., Geophysics, Stanford University (2014)

    • Cumulative GPA: 4.08/4.00

  • B.S. Magna Cum Laude, Geoscience, Cornell University (2011)

    • Honors thesis title: "Fault slip during the 2009 Northern Malawi earthquake sequence from InSAR data"

    • Thesis advisors: Matt Pritchard and Rowena Lohman

    • Graduating GPA: 3.85/4.00


SKILLS

  • Programming: Python, Scala, Spark, SQL, MATLAB, Java, R, Bash

  • Tools & Technologies: AWS (EMR, S3, SageMaker), Hive, Redis, Hadoop, HBase

  • Languages: English (fluent), Greek (native), French (beginner)


HONORS & AWARDS

  • Outstanding Student Paper Award (Seismology), AGU Fall Meeting, 2015

  • UNAVCO Geodetic Science Snapshot, 2015 [ link ]

  • AGU Eos Research Spotlight, 2014 [ link ]

  • Stanford Graduate Fellowship, 2012 – 2015

  • Cornell Engineering Research Honors, 2011

  • Engineering Learning Initiatives Undergraduate Research Award, Cornell University, 2011

  • Undergraduate Scholarship, Cyprus State Scholarship Foundation, 2007-2010


INVITED TALKS

    • Berkeley Seismological Laboratory Seminar, University of California, Berkeley, USA, September 1, 2015

  • US Geological Survey Earthquake Science Center Seminar, Menlo Park, California, USA, July 1, 2015


TEACHING EXPERIENCE

  • Stanford University

    • Teaching Assistant

      • GEOPHYS 288A: Crustal Deformation, Fall 2013 (Advanced graduate course)

      • GEOPHYS 90: Earthquakes and Volcanoes, Spring 2015 (Introductory undergraduate course)


ACADEMIC SERVICE

  • Reviewer: Earth and Planetary Science Letters (1), Journal of Geophysical Research: Solid Earth (2), Geophysical Journal International (1), International Association of Geodesy Symposia (1).

  • Student panel member, Geophysics Department faculty search, Stanford University, Spring 2016


PROFESSIONAL AFFILIATIONS

  • American Geophysical Union, Member, 2012―2017


PATENTS

  • Intuit IPR-2112053US, "Comparative Features for Machine Learning Based Classification", filed June 28, 2021 (co-inventor)

  • Intuit IPR-2010872US, ”Real Time Fault Tolerant Stateful Featurization”, filed May 29, 2020 (co-inventor)


PUBLICATIONS