प्लास्मती स्टाइल सी.वी

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{\Huge\bfseries Dr. Anika Sharma}\\[3pt]
{\Large Research Scientist, Computational Biology}\\[3pt]
{\small [email protected] \quad Bengaluru, India}
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\textcolor{accent}{\bfseries RESEARCH INTERESTS} &
Protein structure prediction, computational genomics, machine learning for drug discovery. \\[10pt]

\textcolor{accent}{\bfseries EDUCATION} &
\textbf{Ph.D. Computational Biology}, Indian Institute of Science, 2014 -- 2019 \newline
\textbf{B.Tech. Biotechnology}, Indian Institute of Technology Madras, 2010 -- 2014 \\[10pt]

\textcolor{accent}{\bfseries APPOINTMENTS} &
\textbf{Senior Research Scientist}, National Centre for Biological Sciences, 2021 -- present \newline
\textbf{Postdoctoral Fellow}, European Bioinformatics Institute, 2019 -- 2021 \\[10pt]

\textcolor{accent}{\bfseries SELECTED PUBLICATIONS} &
Sharma, A. et al. Deep learning models for protein folding under sparse homology. Nature Computational Science, 2023. \newline
Sharma, A. and Reddy, K. Transfer learning across genomic assay types. Bioinformatics, 2021. \\[10pt]

\textcolor{accent}{\bfseries GRANTS} &
DBT-Wellcome India Alliance Fellowship, 2022 -- 2025, 25 million rupees \newline
Early Career Research Award, SERB, 2020, 4 million rupees \\[10pt]

\textcolor{accent}{\bfseries TEACHING} &
Graduate course, Statistical Methods in Genomics, National Centre for Biological Sciences, 2022 -- present \\
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