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<div id="header">
<h1 class="title toc-ignore">Some glimpses of my research profile…</h1>
</div>
<p><br></p>
<p><img src="Pictures/3.jpg" width="50%" style="display: block; margin: auto;" /></p>
<p><br></p>
<p>Below is a list of my published projects (in descending order of
publication year) and upcoming conference presentations. Please refer to
my <a
href="https://www.dropbox.com/scl/fi/9kteh34by8q241fucbqgt/RupamB_CV.pdf?rlkey=c2xzfhhtxvw91ijypnn8t50gy&st=vpeulwdq&dl=0">CV</a>,
<a
href="https://www.researchgate.net/profile/Rupam-Bhattacharyya">ResearchGate
profile</a>, or <a
href="https://scholar.google.com/citations?user=D5F2V4YAAAAJ&hl=en">Google
Scholar page</a> to get a complete list of my preprints, ongoing
projects, past presentations, and accolades. My <a
href="https://www.dropbox.com/scl/fi/9kteh34by8q241fucbqgt/RupamB_CV.pdf?rlkey=c2xzfhhtxvw91ijypnn8t50gy&st=vpeulwdq&dl=0">CV</a>
also contains the most updated list of my administrative and peer review
activities.</p>
<div id="published-works" class="section level2">
<h2>Published Works</h2>
<ul>
<li><p><strong>Bhattacharyya, R.</strong>, Henderson, N., &
Baladandayuthapani, V. (2024). Functional integrative Bayesian analysis
of high-dimensional multiplatform genomic data. <em>JASA Applications
and Case Studies</em>, 119(548), 2533-2547.</p></li>
<li><p>Kundu, R., Datta, J., Ray, D., Mishra, S., <strong>Bhattacharyya,
R.</strong>, Zimmermann, L., & Mukherjee, B. (2023). Comparative
impact assessment of COVID-19 policy interventions in five South Asian
countries using reported and estimated unreported death counts during
2020-2021. <em>PLOS Global Public Health</em>, 3(12), e0002063.</p></li>
<li><p><strong>Bhattacharyya, R.</strong>, Henderson, N., &
Baladandayuthapani, V. (2023, January). BaySyn: Bayesian evidence
synthesis for multi-system multiomic integration. In <em>Pacific
Symposium on Biocomputing</em> (Vol. 28, No. 2023,
pp. 275-286).</p></li>
<li><p><strong>Bhattacharyya, R.</strong>, Burman, A., Singh, K.,
Banerjee, S., Maity, S., Auddy, A., … & Baladandayuthapani, V.
(2022). Role of multi-resolution vulnerability indices in COVID-19
spread in India: A Bayesian model-based analysis. <em>BMJ Open</em>,
12(11), e056292.</p></li>
<li><p>Salvatore, M., Purkayastha, S., Ganapathi, L.,
<strong>Bhattacharyya, R.</strong>, Kundu, R., Zimmermann, L., … &
Mukherjee, B. (2022). Lessons from SARS-CoV-2 in India: A data-driven
framework for pandemic resilience. <em>Science Advances</em>, 8(24),
eabp8621.</p></li>
<li><p><strong>Bhattacharyya, R.</strong>, Banerjee, S., Mohammed, S.,
& Baladandayuthapani, V. (2023). Network-based modeling of COVID-19
dynamics: early pandemic spread in India. <em>Journal of the Indian
Statistical Association</em>, 59(2), 1-43.</p></li>
<li><p>Purkayastha, S., <strong>Bhattacharyya, R.</strong>, Bhaduri, R.,
Kundu, R., Gu, X., Salvatore, M., … & Mukherjee, B. (2021). A
comparison of five epidemiological models for transmission of SARS-CoV-2
in India. <em>BMC Infectious Diseases</em>, 21(1), 1-23.</p></li>
<li><p><strong>Bhattacharyya, R.</strong>, Kundu, R., Bhaduri, R., Ray,
D., Beesley, L. J., Salvatore, M., & Mukherjee, B. (2021).
Incorporating false negative tests in epidemiological models for
SARS-CoV-2 transmission and reconciling with seroprevalence estimates.
<em>Scientific Reports</em>, 11(1), 1-14.</p></li>
<li><p>Ray, D., <strong>Bhattacharyya, R.</strong>, & Mukherjee, B.
(2021). Discussion on “The timing and effectiveness of implementing mild
interventions of COVID-19 in large industrial regions via a synthetic
control method” by Tian et al. <em>Statistics and Its Interface</em>,
14(1), 25-28.</p></li>
<li><p>Salvatore, M., Basu, D., Ray, D., Kleinsasser, M., Purkayastha,
S., <strong>Bhattacharyya, R.</strong>, & Mukherjee, B. (2020).
Comprehensive public health evaluation of lockdown as a
non-pharmaceutical intervention on COVID-19 spread in India: national
trends masking state-level variations. <em>BMJ Open</em>, 10(12),
e041778.</p></li>
<li><p>Ray, D., Salvatore, M., <strong>Bhattacharyya, R.</strong>, Wang,
L., Du, J., Mohammed, S., … & Mukherjee, B. (2020). Predictions,
role of interventions and effects of a historic national lockdown in
India’s response to the COVID-19 pandemic: data science call to arms.
<em>Harvard Data Science Review</em>, 2020(Suppl 1).</p></li>
<li><p><strong>Bhattacharyya, R.</strong>, Ha, M. J., Liu, Q., Akbani,
R., Liang, H., & Baladandayuthapani, V. (2020). Personalized network
modeling of the pan-cancer patient and cell line interactome. <em>JCO
Clinical Cancer Informatics</em>, 4, 399-411.</p></li>
<li><p>Liu, Q., Ha, M. J., <strong>Bhattacharyya, R.</strong>, Garmire,
L., & Baladandayuthapani, V. (2020, January). Network-based matching
of patients and targeted therapies for precision oncology. In
<em>Pacific Symposium on Biocomputing</em> (Vol. 25, No. 2020,
pp. 623-634).</p></li>
</ul>
</div>
<div id="upcoming-presentations" class="section level2">
<h2>Upcoming Presentations</h2>
<ul>
<li>Watch this space for my 2025 presentations!</li>
</ul>
</div>
</div>
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