Technical Knowledge
Atmospheric Chemistry, Air Quality, Sub-micron aerosol: sources, processes and atmospheric dynamics
Methane: Sources of Methane in the Oil and Gas Supply Chain, methane measurement, quantification and abatement
Deep knowledge of voluntary methane initiatives such as Oil and Gas Methane Partnership (OGMP 2.0), Veritas Protocols
Knowledge of evolving methane regulations in the US: US EPA Methane Rule, Inflation Reduction Act
Software(Basic/Medium/High)
Igor Pro (High)
Matlab (High)
Python (High)
ArcGIS (Medium)
R (Medium)
C (Basic)
VBA (Basic)
Aspen Plus (Basic)
Modeling/data science
Advanced statistical analysis
Back trajectory analysis using HYSPLIT
Machine learning (Supervised and unsupervised) , deep learning
Receptor modeling (Positive Matrix Factorization)
Thermodynamic modeling using E-AIM
Equipment
Aerosol Chemical Speciation Monitor (ACSM)
Scanning Electrical Mobility System (SEMS)
High-Resolution Time of Flight Chemical Ionization Mass Spectrometer (HR-ToF-CIMS)
Teaching
TA for Numerical Methods In Chemical Engineering - Fall 2018/Spring 2019
Taught coding in Matlab to ~40 under-graduate students (per semester); received an average rating of 4/5 as student feedback
TA for Chemical Engineering Processes Lab - Summer 2020
Taught chemical engineering fundamentals relevant to the experiments and provided feedback on special projects; received an average rating of 4.8/5 as student feedback
Relevant Courses
Atmospheric Chemistry and Physics, Energy Technology and Policy
From data to decisions, Machine Learning, Statistical methods (part of the advanced statistical modeling portfolio)
Online certifications from Coursera: Machine Learning, Deep Learning, Python for everyone, Fundamentals of GIS, GIS Data Acquisition and Map Design