基本信息
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职业迁徙
个人简介
Areas of interest include machine, deep and transfer learning, natural language processing, question answering, document retrieval, information extraction and visual question answering.
Currently working on projects that evaluate the performance of deep learning (seq2seq models, LSTM, etc) and transfer learning models (BERT, SciBERT, T5, etc) applied toward improving Natural Language Question Answering and Visual Question Answering. I am also working on adverse drug effect reaction extraction and biomedical named entity recognition.
6 years of experience in natural language processing, question answering and machine learning.
Experienced at developing machine, deep and transfer learning based-solutions (PyTorch, Keras, scikit-learn) for question answering, text classification and visual question answering.
Efficient in documenting & communicating project results.
Prolific researcher as evidenced by 4 fellowships, 1 awards, 11 publications, 3 book chapter, 4 oral and 3 poster presentations at national and international conferences.
Reviewer for several journals (e.g., Journal of Biomedical Informatics) and international conferences (e.g. ACL, EMNLP).
Editorial review board member for IJHISI journal.
TECHNICAL SKILLS & TOOLS:
Python, Java, C, PyTorch, Keras, Scikit-learn, NumPy
Machine learning (SVM, Naive Bayes, ...), Deep learning (LSTM, RNN, Autoencoders, ...),
Transfer learning (BERT, T5, ResNet, VGG, etc), Data visualization (t-SNE)
Information retrieval models (Terrier, BM25)
Document, passage and answer reranking based on deep learning models (BERT, T5)
NLP (NLTK, ...)
Ontologies
Currently working on projects that evaluate the performance of deep learning (seq2seq models, LSTM, etc) and transfer learning models (BERT, SciBERT, T5, etc) applied toward improving Natural Language Question Answering and Visual Question Answering. I am also working on adverse drug effect reaction extraction and biomedical named entity recognition.
6 years of experience in natural language processing, question answering and machine learning.
Experienced at developing machine, deep and transfer learning based-solutions (PyTorch, Keras, scikit-learn) for question answering, text classification and visual question answering.
Efficient in documenting & communicating project results.
Prolific researcher as evidenced by 4 fellowships, 1 awards, 11 publications, 3 book chapter, 4 oral and 3 poster presentations at national and international conferences.
Reviewer for several journals (e.g., Journal of Biomedical Informatics) and international conferences (e.g. ACL, EMNLP).
Editorial review board member for IJHISI journal.
TECHNICAL SKILLS & TOOLS:
Python, Java, C, PyTorch, Keras, Scikit-learn, NumPy
Machine learning (SVM, Naive Bayes, ...), Deep learning (LSTM, RNN, Autoencoders, ...),
Transfer learning (BERT, T5, ResNet, VGG, etc), Data visualization (t-SNE)
Information retrieval models (Terrier, BM25)
Document, passage and answer reranking based on deep learning models (BERT, T5)
NLP (NLTK, ...)
Ontologies
研究兴趣
论文共 30 篇作者统计合作学者相似作者
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期刊级别
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合作机构
BioNLP@NAACL-HLTpp.291-301, (2021)
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