Work with thought leaders and academic experts from Northeastern University

Undergraduate Researcher / August, 2010 — May, 2012

Constructed a procedure to apply sol-gel thin films to fiber optic cables, Performed Scanning Electron Microscopy to assess the quality of the coating | Skills: Sol-Gel Preparation, UV-Vis Spectroscopy, Scanning Electron Microscopy

Graduate Teaching Assistant / August, 2012 — May, 2017

Prepared and taught labs for Analytical Chemistry I, Physical Chemistry II, General Chemistry I and II

Graduate Researcher / July, 2012 — December, 2017

 Created a method to construct and apply networks to units of electrochemical reactions  Explored the impact of network topology and unit heterogeneity on network behavior  Built code in LabVIEW, MATLAB, and R to collect and analyze data as well as to simulate the experiments  Designed community outreach demonstration experiments for the research | Skills: Potentiometry, Anode-Cathode Systems, Electrochemical Cells, LabVIEW, MATLAB, R, TeXworks, 3D printing, Autodesk Eagle, AutoCAD

Post-Doctoral Researcher / August, 2018 — Present

 Used network medicine approaches to predict food-drug and food-disease associations  Gathered and disambiguated resources on food composition and protein-protein interactions  Led metabolomics projects and analyzed metabolomics data  Performed both statistical and machine learning analysis of metabolomics and food composition data  Designed a machine learning/artificial intelligence pipeline to predict biochemical-protein interactions  Led and aided the development of grant proposals to both private and government organizations  Lead and organize multiple teams towards the completion of lab projects | Skills: Network Science, Data Science, Python, Metabolomics, Network Medicine, Machine Learning, Artificial Intelligence, Large Language Models, Google Cloud Platform

Adjunct Professor / September, 2019 — Present

Developed and taught numerous courses in AI, Machine Learning, Statistics, Programming, etc., at the graduate and undergraduate levels

Principal Computer Vision Data Scientist / November, 2016 — May, 2023

● Research, prototyping, designing, and efficiently implementing image and video analytics algorithms with Deep Learning frameworks, e.g., TensorFlow/Keras. ● Agile development in Python, C++, in Linux, including on Amazon AWS. ● Design of the Machine Learning pipelines and workflows, including the entire dataset and model lifecycle. Management of the data annotation and curation operation, including directing the team.

Postdoctoral fellow / October, 2020 — August, 2023

Postdoctoral research associate / September, 2023 — March, 2024

Graduate Student / August, 2018 — December, 2023

Developed a more information-rich topological analysis of pnictogen-oxygen bonding using DFT and QTAIM. Solved the long outstanding question of the solution-state geometry of pentaphenylantimony using Sb XAS, Raman spectroscopy, single-crystals XRD, and TD-DFT. Synthesized and characterized a small library of novel compounds designed to model antimony-containing drugs using multidimensional and multinuclear NMR, HPLC, single-crystal XRD, DFT, and ab initio molecular dynamics.

Compounding Manager / June, 2017 — June, 2018

Optimized the workflow and doubled productivity in preparing prescription creams, capsules, troches, and suspensions increasing sales and number of patients helped. Managed the compounding operations of the pharmacy and increased efficiency of chemical ordering and new formula creation.

Research Associate / June, 2015 — August, 2015

Synthesized the natural product SIA7248 and optimized the conditions of an allylation reaction. Successfully showed metal-catalyst interactions play a role in Leighton's allylations, furthering fundamental knowledge of organic synthetic pathways.

PostDoctoral Researcher / May, 2023 — May, 2025

PostDoctoral Researcher / May, 2022 — May, 2023