Iris Hwang Email & Phone Number

Stanford, Ca, Us

Brownsville, Texas, United States

Dallas, Texas, United States

- Leveraged physics-based modeling and event detection in time-series using Python and SQL to model performance of friction reducers used in stimulation operations- Designed, proposed, planned, and led non-disruptive field experiments validating the performance models generated computationally- Served as product manager to an in-house, real-time data visualization platform tracking our 24/7 operations by providing product strategy, user base analysis, and technical support- Led a team of remote software developers, converted development style from waterfall to sprint-cycles, implemented a culture of user testing, and improved progress tracking- Developed data visualizations and tools in Spotfire to enable data-driven decisions used daily by execution engineers in both stimulation and drill-out operations- Led collaboration with the data science team to investigate the importance of various completion design features and to predict low-pressure drill-outs using machine learning in Python- Served as a well-site supervisor for hydraulic fracturing and wireline operations

Bellevue, Wa

Applied computational modeling, signal processing, and machine learning to develop and validate quality control methods for continuous manufacturing of viral vectors for gene therapy.- Supported publication in ACS Nano letters as second author: https://pubs.acs.org/doi/10.1021/acs.nanolett.1c04092- Presented at the 2020 APS Division of Fluid Dynamics conference- Developed and validated a MATLAB computational model for laminar, low-Reynolds flow of viruses through a nanofluidic system (SNR) used to measure the mass of AAVs for gene therapy- Used both classical theory, machine learning on time series, and signal processing methods to develop and validate methods to extract mass information from the resonant frequency signal

Irving, Tx

- Studied the correlation between wellbore tortuosity, as quantified using UT RAPID's tortuosity index, and performance in completions and production to challenge a common heuristic- Presented results to both an internal team of engineers and to external researchers from the UT Rig Automation and Performance Improvement in Drilling (RAPID) group- Wrote Python scripts to automate the preparation of wellbore survey data for tortuosity calculations, as well as post-processing, visualization, and analysis of the data

Fremont, Ca

- Proposed design changes to the Model S using LS-DYNA finite element analysis (FEA) in ANSA to simulate pedestrian headform impact testing for the 2020 EURO NCAP regulations - Developed improvements to the LS-DYNA FE oblique moving deformable barrier (OMDB) model and presented results to the team, including principle engineer for crash safety- Developed an alternative model build procedure based on 3D scan data, for parts which deviate significantly from CAD, to provide models with stronger geometric accuracy

Cambridge, Ma

- Simulated walking gait in ABAQUS using motion tracking data of a live subject’s gait for optimizing placement of sensors on force-sensing smart shoes- Designed and implemented real-time communications for urban and rural environments from force sensors designed for the MIT Cheetah to a Windows mobile application for data analysis

Master Of Science - Ms, Civil And Environmental Engineering

Bachelor Of Science - Bs, Mechanical Engineering

Activities and Societies: MIT Sport Taekwondo, MIT Sport Pistol, Pi Tau Sigma