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MINGLAI YANG

AI Engineer & ML UGRA & Full-Stack Developer | Actively Seeking Summer 2025
Internships

I am a Computer Science student at the University of Arizona, holding a perfect
4.0 GPA and specializing in software development, probabilistic modeling, and
machine learning. I am actively seeking internship opportunities for the summer
months (May to August) of 2025. My expected graduation date is December 2025.

As a full-stack developer, I have extensive experience with AWS, Nginx, Docker,
React, and Django. During my internship at CoreTechs Consulting Inc., I managed
end-to-end website development, created intelligent bots, and deployed
applications using advanced cloud services.

My machine learning expertise includes developing GPT-based models at AI Core
the University of Arizona’s Data Science Institute and Institute for Computation
and Data-Enabled Insight. Additionally, I have research projects at the ML4AI
LAB and IVI LAB, developing probabilistic graphical models (Dynamic Bayesian
Network) to predict human beliefs in search and rescue missions and
computationally understand human-beings. Additionally, I contributed to the
ToMCAT dataset, exploring team dynamics in urban search and rescue missions
using brain scans, physiological signals, and behavioral responses.

Outside of my technical pursuits, I am a violin enthusiast and avid hiker, which
I often share about on my blog.

If you believe I would be a good fit for your team, please feel free to contact
me!


NEWS

May 09, 2024 I’m starting a new position as Software Engineer Intern at
CoreTechs Consulting Inc.! Mar 14, 2024 I’m starting a new position as AI
Engineer in AI Core, the University of Arizona. Sep 27, 2023 Became a research
assistant under the guidance of Dr. Kobus Barnard in the Interdisciplinary
Visual Intelligence Lab ([IVILAB](https://ivilab.org/)).


LATEST POSTS

Jun 23, 2024 I attend AWS Summit as a Machine Learning Engineer at Coretechs!
Mar 13, 2024 Mathematical Modeling in the 2024 MCM Dec 20, 2023 Exploring
Washington DC - A Journey Through the White House and Iconic Museums


SELECTED PUBLICATIONS

 1. Dynamic Balances: Modelling Variable Sex Ratios in Lamprey Populations for
    Ecosystem Management
    M. Yang, M. Abbasi, and S. Soporboev
    International Mathematical Contest in Modeling (MCM)., Tucson, Arizona. **
    The Problem can be found here , May 2024
    
    Abs PDF
    
    First, we develop an Adaptive Population Control (ACC) model that explains
    the skewed sex ratio at high and low levels of resource availability as a
    control measure by lamprey to maximize their growth rate. We find that the
    advantage of a variable sex ratio is greatest under extremely poor or
    extremely suitable environmental conditions. Next, to account for the male
    skewed populations of lamprey at high densities, we develop a modified
    logistic growth model that allows for variable carrying capacity for males
    and females. Differential Carrying Capacity (DCC) model accurately predicts
    the optimal sex ratio to achieve the maximal growth rate at various
    population densities. In line with ACC, we use Aquatic Nutritional Network
    (ANN), a niche width differential equation model is developed by integrating
    concepts from Lotka-Volterra equations. to study the dynamics of lamprey and
    their native prey/predator. We find that variable sex ratios allow time for
    regeneration of the native prey in Lamprey.

Email preferred!
© Copyright 2024 Minglai Yang. Last Update: July 21st, 2024. (My 19th birthday!)