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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Ashmita Bhattacharyya | Engineering Science, University of Toronto | Vector Intern</title>
<link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.4/css/all.min.css">
</head>
<body>
<header>
<h1>Ashmita Bhattacharyya</h1>
<h2>University of Toronto | Vector Institute for AI </h2>
<nav>
<ul>
<li><a href="#about">About</a></li>
<li><a href="#vector-internship">Vector Internship</a></li>
<li><a href="#nus-internship">NUS Internship</a></li>
<li><a href="#awards-honours">Awards and Honours</a></li>
<li><a href="mailto:[email protected]"><i class="fas fa-envelope"></i></a></li>
<li><a href="https://www.linkedin.com/in/ashmita-uoft/"><i class="fab fa-linkedin"></i></a></li>
<li><a href="https://github.com/ashmxta"><i class="fab fa-github"></i></a></li>
</ul>
</nav>
</header>
<section id="about">
<div class="container">
<h2>About Me</h2>
<p>I am a 2nd year Engineering Science student at the University of Toronto, majoring in <a href="https://engsci.utoronto.ca/program/majors/machine-intelligence/">Machine Intelligence</a>, with a strong interest in differential privacy and cybersecurity. Currently, I am pursuing an internship at <a href="https://vectorinstitute.ai/">Vector Institute</a>, supervised by <a href="https://www.papernot.fr/">Prof. Nicolas Papernot</a>. Growing up, I travelled extensively, given my dad's profession as a Ship Captain - I am Singaporean and have lived in Montreal, Dubai, Kolkata, and Toronto. In my spare time, I enjoy visual arts, yoga, and reading.</p>
</div>
</section>
<section id="vector-internship">
<div class="container">
<h2>Forged Training Distributions in Differential Privacy</h2>
<ul>
<li>Research Intern at the Vector Institute for AI with CleverHans Lab (focus on ML Privacy, security and fairness) starting summer 2024.</li>
<li>Implementing DP-SGD algorithms to investigate the uniqueness of machine learning training distributions.</li>
<li>Currently working towards a paper on forged training distributions, and its real-world implications, such as copyright issues.</li>
</ul>
</div>
</section>
<section id="nus-internship">
<div class="container">
<h2>Optimizing Perovskites with Machine Learning</h2>
<ul>
<li>Research Intern at the National University of Singapore's Solar Energy Research Institute of Singapore (SERIS) during the summer of 2023.</li>
<li>Project involved optimizing perovskite solar cells using machine learning techniques.</li>
<li>Implemented various deep learning models, including artificial neural networks (ANNs), random forests (RF), XGBoost, and stacked models, achieving up to 99.3% accuracy in predicting solar cell performance.</li>
<li>Conducted SHAP analysis to identify the most critical solar cell attributes.</li>
<li>Research was funded by the Engineering Science Research Opportunities Program (ESROP) and supervised by Prof. Erik Birgersson.</li>
</ul>
</div>
</section>
<section id="awards-honours">
<div class="container">
<h2>Awards and Honours</h2>
<ul>
<li>Singapore Maths Olympiad, Gold Medalist, 27th National Rank, IMO Junior team qualifier.
<li>Kuper Academy High School, Governor General’s Academic Medal, Valedictorian.
<li>Vector Institute for AI, $15 000 research grant.
<li>Donald C. Leigh Memorial Scholarship, U of T, $10 000 scholarship.
<li>Waterloo Maths Contests, Euclid (Distinction, School Champion Medal), Canadian Senior (Distinction, Top 7% Nationally).
<li>NUS MakerMania Hackathon, 1st Prize, Pitched a sensor-based waste management system, $3,000 prize.
<li>Junior Breakthrough Challenge, Top 5% Internationally, Produced a short video on Chaos Theory.
</ul>
</div>
</section>
<footer>
<p>© 2024 Ashmita Bhattacharyya</p>
</footer>
</body>
</html>