Hi, I’m
Surobhi Lahiri
Data Science - AI And ML, Drug Discovery Scientist
Hyderabad
If you can dream it, you can do it.
Walt Disney
Summary
Keen on harnessing my extensive interdisciplinary background in Life Sciences and Artificial Intelligence. I am committed to driving innovation and automation within the Healthcare and Pharmaceutical sectors.
Overview
17
years of professional experience
10
years of post-secondary education
Work History
TalentSprintHyderabad
Associate Director
01.2022 - Current
Job overview
- Directed teams of up to 10 members in the creation and execution of specialized technical content, focusing on Data Science and AI educational materials.
- Engineered comprehensive educational experiences including case studies, projects, hackathons, and capstone projects, in partnership with esteemed institutions such as IISc and the International Institute of Information Technology, Hyderabad IIIT-H.
- Successfully delivered a diverse range of content across sectors including healthcare, business, sales, research and development, banking, finance, and retail, integrating advanced technologies like NLP, ML, and Deep Learning.
- Utilized a robust suite of analytical tools and frameworks to enrich content delivery, including Sklearn, Keras, NLTK, Google Data Studio, and Tableau, enhancing the learning journey with hands-on practical application.
TalentSprintHyderabad
Principal Consultant
01.2019 - 01.2021
Job overview
- IIITH/CDS-IISc XP Programs
- Collaborated closely with IISc and IIITH to design and deploy artificial intelligence and machine learning-enhanced EdTech solutions, guiding the journey from conceptualization to the final delivery of innovative educational products and services.
Vitas PharmaHyderabad
Principal Scientist
01.2011 - 01.2018
Job overview
- Spearheaded the development and implementation of cutting-edge molecular and microbiological assays to validate drug targets within bacterial pathogens.
- Conducted comprehensive studies to elucidate the mechanisms of action of potential therapeutic agents in combating infectious diseases.
- Led molecular characterization projects to identify and understand antimicrobial resistance patterns in clinical pathogen isolates.
- Developed an innovative diagnostic methodology for the rapid and accurate detection of antimicrobial resistance genes in ESKAPE pathogens, enhancing clinical decision-making and patient outcomes.
Kunkel Lab, Washington UniversitySt. Louis
Postdoctoral Scientist
04.2008 - 01.2010
Job overview
- Executed genetic characterization of genetically modified tomato lines, aimed at conferring resistance to bacterial speck disease.
- Performed both genetic and functional characterization of jasmonate hypersensitive mutants in Arabidopsis, contributing to the understanding of plant defense mechanisms.
Blankenship Lab, Washington UniversitySt. Louis
Postdoctoral Scientist
01.2007 - 01.2008
Job overview
- Specialized in the genomic analysis of bacterial species, focusing on the elucidation of genetic determinants in archaeal nitrogen fixation.
- Conducted in-depth studies of protein-protein interactions within archaeal nitrogen-fixing proteins, contributing to advancements in the field of microbial biotechnology.
Education
IIIT-Hyderabad, India
Advanced Certification in Artificial Intelligence and Machine learning from AI And ML
03.2019 - 07.2019
Mississippi State University, USA
Ph.D from Biology
08.2001 - 12.2006
M. S. University, India
M.Sc. from Microbiology
07.1998 - 04.2000
M. S. University, India
B.Sc. from Zoology
09.1995 - 05.1998
Skills
Data Science, Machine Learning and Artificial Intelligence: Python programming, Numpy, Pandas, SciPy, Matplotlib, Colab, Seaborn, Google Data Studio, Tableau, TensorFlow, Pytorch, NLTK, Word2Vec, ML algorithms for Supervised and Unsupervised learning: Linear Regression, kNN, Decision trees, Support vector machines, PCA, t-SNE, k-means clustering, Random Forests, Ensembles, non-linear solutions and multilayer perceptron, gradient descent and back propagation, deep neural networks, CNNs, autoencoders, GANs, RNNs, Siamese networks, LSTMs, Reinforced Learning
undefinedAccomplishments
ARTICLES IN TECH MAGAZINES:
- Surobhi Lahiri, How Data Science is disrupting every business (Part 1): DataQuest Magazine: https://www.dqindia.com/how-data-science-is-disrupting-every-business/, Dec 01, 2020
- Surobhi Lahiri, How Data Science is disrupting every business (Part 2): CRN Magazine: https://www.crn.in/columns/how-data-science-is-disrupting-every-business/, Jan 06, 2021
PUBLICATIONS IN INTERNATIONAL JOURNALS:
1. Lahiri, S., Venkataraman, R., Jagan, A., Deshmukh G., Patra, S., Reddy, V., Sangeetha, V., Solanki, R., Gupta, J., Patel, K., De, A., Mukhopadhyay, C., Dias, M., Kanungo, R., Mendiratta, D., Nawal, P., Shastri, J., Vemu, L., Rangarajan, R. 2019. Evaluation of LAMP based assays for carbapenemase genes. J. Med. Microbiol. 68(10):1431-1437.
2. Pardeshi, K.A., Malwal, S.R., Banerjee, A., Lahiri, S., Rangarajan, R., Chakrapani, H. 2015. Thiol activated prodrugs of sulfur dioxide (SO2) as MRSA inhibitors. Bioorg. Med. Chem. Lett. 25(13): 2694-2697
3. Khodadde, V.S., Sharath Chandra, M., Banerjee, A., Lahiri, S., Pulipeta, M., Rangarajan, R., Chakrapani, H. 2014. Bioreductively activate Reactive oxygen species (ROS) generators as MRSA inhibitors. ACS Med. Chem. Lett. 5(7): 777-781
4. Lahiri, S., Pulakat, L., Gavini, N. 2008. NifH: Structural and mechanistic similarities with proteins involved in diverse biological processes. Am. J. Biochem. Biotechnol. 4(3): 304-316.
5. Sattley, W. M., Madigan, T. M., Swingley, W. D., Chen, M., Cheung, P. C., Clocksin, K. M., Conrad, A. L., Dejesa, L. C., Honchak, B. M., Jung, D. O., Karbach, L. E., Kurdoglu, A., Lahiri, S., Mastria, S. D., Page, L. E., Taylor, H. L., Wang, Z. T., Raymond, J., Blankenship, R. E., Touchman, J. W. 2008. The genome of Heliobacterium modesticaldum, a phototrophic representative of the Firmicutes containing the simplest photosynthetic apparatus. J Bacteriol. 190(13): 4687-96.
6. Lahiri, S., Pulakat, L., Gavini, N. 2008. Functional participation of a nifH-arsA2 chimeric fusion gene in arsenic reduction by Escherichia coli. Biochem. Biophys. Res. Commun. 368(2):311-7.
7. Swingley, W. D., Chen, M., Cheung, P. C., Conrad, A. L., Dejesa, L. C., Honchak, B. M., Karbach, L. E., Kurdoglu, A., Lahiri, S., Mastrian, S. D., Miyashita, H., Page, L., Satoh, S., Sattley, W. M., Shimada, Y., Taylor, H., Tohru, T., Wang, Z. T., Raymond, J., Mimuro, M., Blankenship, R. E., and Touchman, J. W. 2008. Niche adaptation and genome expansion in the chlorophyll d-producing cyanobacterium Acaryochloris marina. Proc. Natl. Acad. Sci. U.S.A. 105(6):2005-10.
8. Staples, C. R., Lahiri, S., Raymond, J., Von Herbulis, L., Mukhophadhyay, B., Blankenship, R. E. 2007. Expression and association of group IV nitrogenase NifD and NifH homologs in the non-nitrogen-fixing archaeon Methanocaldococcus jannaschii. J. Bacteriol. 189(20):7392-7398.
9. Lahiri, S., Cole, B., Pulakat, L., Gavini, N. 2007. NifX protein is involved in the final stages of FeMo-cofactor transport to the MoFe protein. Am. J. Biochem. Biotechnol. 3 (2): 92-102.
10. Lahiri, S., Pulakat, L., Gavini, N. 2005. Functional NifD-K fusion protein in Azotobacter vinelandii is a homodimeric complex equivalent to the native heterotetrameric MoFe protein. Biochem. Biophys. Res. Commun. 337(2): 677-84.
Affiliations
2003-2007: American Society for Microbiology
2009-2010: International Society for Plant Molecular Biology
Additional Information
AWARDS AND ACHIEVEMENTS:
- 2016: Discovery Award (Nesta) winners for “Rapid Molecular Diagnostic for Determination of Bacteria in Clinical Samples” received by Vitas Pharma team - Surobhi Lahiri, Rasika Venkataraman and Radha Rangarajan (21st November, 2016 at the Royal Society, London, UK)
- 2004: Certificate for ‘Excellence in Teaching by a Graduate Teaching Assistant’, Department of Biological Sciences, Bowling Green State University, Bowling Green, OH, U.S.A.
- 2000: Certificate for successfully qualifying the National Eligibility Test (NET) exam conducted by Council of Scientific and Industrial Research (CSIR) and University Grants Commission (UGC), Government of India
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