- ORCID iD
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0000-0003-1491-4914
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- Journal Article
- A1
- open access
Mutate and observe : utilizing deep neural networks to investigate the impact of mutations on translation initiation
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- Miscellaneous
- open access
PhosphoLingo : protein language models for phosphorylation site prediction
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Utilizing mutations to evaluate interpretability of neural networks on genomic data
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- Journal Article
- A1
- open access
Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit
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- Conference Paper
- C3
- open access
MS²DIP : highly accurate MS2 spectrum prediction for modified peptides & MS²Rescore : data-driven rescoring dramatically boosts immunopeptide identification rates
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- Conference Paper
- C3
- open access
Translation initiation site prediction using deep learning and synthetic datasets
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- Journal Article
- A1
- open access
ToxDL : deep learning using primary structure and domain embeddings for assessing protein toxicity
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- PhD Thesis
- open access
Automated learning of biologically relevant features from primary sequence using convolutional neural networks
(2020) -
- Conference Paper
- C1
- open access
Investigating the biological relevance in trained embedding representations of protein sequences
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Electrochromic photodetectors : toward smarter glasses and nano reflective displays via an electrolytic mechanism