About Me

Bio Statement

As a first-generation college student, the desire to become a lifelong learner motivates me to acquire new skills and pursue challenging opportunities. My appetite for knowledge and a bricolage of experiences have transformed me from a liberal arts graduate into an engineer and researcher situated within the field of sustainability. Currently, I am a Ph.D. Candidate in Civil Engineering with a focus in Intelligent Systems at the University of Michigan. The field of intelligent systems is just starting to bloom, and with it, I, too, will bloom into a sustainably focused, intelligent water systems researcher.

Objective

I am motivated to move society towards a more just and sustainable future. Through research, I seek to improve water management by enabling the next generation of autonomous water systems by combining domain knowledge from computing, data science, machine learning, and control theory. Through service, I work to improve diversity, equity, and inclusion at my institution and in my community.

General Research Interests

  • Autonomous stormwater systems
  • Real-time monitoring and control
  • Improving modeling capabilities
  • Data-driven policy
  • Sustainability
  • Environmental justice

Research Overview

Introduction

  • I work with Branko Kerkez in the Real-Time Water Systems Lab.
  • To manage stormwater and its pollutants without exponential costs, we can leverage recent technological advances, such as sensors and real-time data algorithms, to enable the next generation of autonomous water systems.

Intellectual Merit

  • Coordinated, autonomous stormwater systems will use sensors and actuators to adapt watersheds to individual storms, reducing flooding and maximizing treatment through real-time monitoring and control at the system-scale.
  • Investigating fundamental knowledge gaps of autonomous systems water resources, environmental engineering, control theory, system system, and signal processing.

Research Objectives

  1. No computational toolchains existed to evaluate the potential of autonomous water systems due to the overlapping need to model flow, water quality, and controls. To address this need, I built an open-source Python package, StormReactor, which couples the popular EPA’s Stormwater Management Model with a new generation water quality module. (Completed)
  2. Partnering with the Detroit Sierra Club, I developed an “Internet of Things” stormwater infrastructure sensing network using open-source solutions to monitor flooding in Detroit. A network of 20+ sensor nodes has created the largest dataset of stormwater infrastructure performance to date, shedding a light on stormwater dynamics at an unprecedented spatial and temporal scale. (Underway)
  3. Real-time flood inundation modeling is critical for informing citizens and emergency services during flash flood conditions. To that end, I am combining my lab’s open-source sensor data, USGS stream gauge data, and publicly accessible GIS datasets to develop a real-time flood inundation model for southeast Michigan. (Underway)

Broader Impacts

  • Developing an interdisciplinary, integrated systems framework for autonomous water system.
  • Improving the ability of water system managers to make informed decisions by providing real-time monitoring and control capabilities.