index.html

---
layout: page
title: Welcome to Dhal's Webpage!
subtitle: Data Scientist, Machine Learning Engineer, and Bioinformatics Enthusiast
use-site-title: true
---

<style>
    body {
        font-family: 'Roboto', sans-serif;
        line-height: 1.6;
        color: #333;
        margin: 0;
        padding: 0;
        display: flex;
        flex-direction: column;
        align-items: center;
    }

    .content-wrapper {
        width: 100%;
        max-width: 800px;
        padding: 20px;
    }

    h1, h2 {
        color: #2c3e50;
    }

    .about-text {
        background-color: #f8f9fa;
        border-left: 4px solid #007bff;
        padding: 15px;
        margin-bottom: 20px;
        border-radius: 4px;
    }

    .about-icon {
        color: #007bff;
        margin-right: 10px;
    }

    a {
        color: #007bff;
        text-decoration: none;
        transition: color 0.3s ease;
    }

    a:hover {
        color: #0056b3;
    }

    hr {
        border: 0;
        height: 1px;
        background: linear-gradient(to right, rgba(0, 0, 0, 0), rgba(0, 0, 0, 0.75), rgba(0, 0, 0, 0));
        margin: 30px 0;
    }

    .updates-list {
        height: 300px;
        overflow: auto;
        border: 1px solid #e9ecef;
        border-radius: 4px;
        padding: 15px;
    }

    .updates-list li {
        margin-bottom: 15px;
        padding-bottom: 15px;
        border-bottom: 1px solid #e9ecef;
    }

    .updates-list li:last-child {
        border-bottom: none;
    }

    .date {
        font-weight: bold;
        color: #6c757d;
    }
</style>

<div class="content-wrapper">
    <p class="about-text">
        <span class="fa fa-graduation-cap about-icon"></span>
        I'm a data scientist, with 6+ years of expertise in statistical design, modeling and analysis of high dimensional data-sets. At <a href="https://serimmune.com" target="_blank"><strong>Serimmune</strong></a>. I 
        most recently worked on statistical modeling of Long-Covid immune response using unbiased ML models. Currently, I'm also building a streamlined codebase for different ML, DL and bioinformatics analysis tools <a href="https://abhilashdhal.com/projects" target="_blank"><strong>OmixHub</strong></a>. I have an MS in 
        <strong>Biophysics</strong> from the University of California (supervised by the awesome
        <a href="http://qtl.rocks/chenglab.html" target="_blank">Professor Hao Cheng</a>) and my Bachelor of <strong>Biochemical Engineering</strong> from 
        IIT-BHU, India. My masters thesis project involved
        <a href="https://github.com/adhal007/SSBR-JWAS-Implementation" target="_blank">Statistical analysis of GWAS by bayesian methods</a>.
    </p>

    <p class="about-text">
        <span class="fa fa-code about-icon"></span>
        I pride myself in end to end development of software tools for <strong> Statistical Models </strong>. I'm experienced in python, R, julia, SQL and google cloud infrastructure.
    </p>

    <p class="about-text">
        <span class="fa fa-heart about-icon"></span>
        I'm a real madrid fan (Hala Madrid), and enjoy scientific enterpreneurial debates and problem solving.  
    </p>

    <p class="about-text">
        <span class="fa fa-globe about-icon"></span>
        Grew up in <i>mumbai, India</i>; moved to <i>Davis, California</i> for my graduate study, Currently in Santa Barbara, CA .
    </p>

    <hr style="height:2px;border-width:0;color:gray;background-color:gray">

    <b>Updates:</b><br><br>

    <ul class="updates-list">
        <li>
            <span class="date">September 2024:</span> I released the documentation for <a href="https://omixhub.readthedocs.io/en/latest/">OmixHub</a>, 
            a one-stop application of well-known ML and DL based classification, feature selection and 
            other bioinformatics in high dimensional NGS cancer datasets 
            from <a href="https://portal.gdc.cancer.gov/">Genomic Data Commons</a>.  
        </li><br>

        <li><i>August 2024:</i> I successfully completed  
            <a href="https://summerofcode.withgoogle.com/programs/2024/projects/TgAYG5dKGoogle">Summer of Code(GSOC), 2024</a> as a Contributor! I will be looking
            forward to writing a paper on metadata harmonization with </b> Sehyun Oh, Jonathan Davenport and Michele W</b>.
        </li><br>

        <li><i>May 2024:</i> I joined <a href="https://www.cbioportal.org/" ><b>cBioPortal</b></a> through 
            <a href="https://summerofcode.withgoogle.com/programs/2024/projects/TgAYG5dKGoogle">Summer of Code(GSOC), 2024</a> as a Contributor! I will be working
            on Clinical metadata harmonization using advanced NLP models mentored by </b> Sehyun Oh, Jonathan Davenport and Michele W</b>.
        </li><br>

        <li><i>March 2024:</i> Our <b> Moderna paper</b> 
            <a href="https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1285278/full">Profiling antibody epitopes induced by mRNA-1273 vaccination and boosters </a> 
            got accepted at <a href="https://www.frontiersin.org/journals/immunology"> </b>Frontiers in Immunology</b></a>.
        </li><br>

        <li><i>November 2023:</i> I started an open source tool <a href="https://github.com/adhal007/OmixHub"></b>Omixhub</b></a>
            for a one stop application of well known ML and DL based classification, feature selection and other bioinformatics in high dimensional NGS cancer datasets 
            from <a href="https://portal.gdc.cancer.gov/"> Genomic Data Commons</a> .
        </li><br>

        <li><i>September 2023:</i> <b>Long COVID paper</b> published in <a href="https://www.nature.com/">nature</a>
            . The paper investigated the unbiased machine learning models to identify the key features that are most strongly 
            associated with long COVID status<a href="https://www.nature.com/articles/s41586-023-06651-y">(Led by </b>Jon Klein's Group)</b></a> .
        </li><br>
    
        <li><i>April 2022:</i> I was invited by my masters PI, Hao Cheng to give a talk on 
            <a href="https://video.ucdavis.edu/media/Abhilash+Dhal+ANSCI+Seminar+4-11-2022/1_l50244q2"> Application of Serum epitope repertoire analysis (SERA) 
            for early detection for Renal Cell Carcinoma</a> at <a href="https://animalscience.ucdavis.edu/"> UC Davis, Animal Science Group</a>.
        </li><br>
    </ul>
    <hr style="height:2px;border-width:0;color:gray;background-color:gray">
</div>