Rebecca Kusko, PhD
Predoctoral Trainee (previously held)
Boston University Chobanian & Avedisian School of Medicine, Graduate Medical Sciences
Genetics & Genomics

Rebecca Kusko, PhD is the SVP and Head of R&D at Immuneering Corporation. She completing her undergraduate degree at MIT in Biological Engineering and earning a PhD in Genetics and Genomics from BU before joining Immuneering in 2014. At Immuneering she has been accelerating pharma R&D using AI and other advanced algorithms. Additionally she is a board member of the MAQC Society, an FDA-led initiative around moving toward best practices for big data analysis. Her published areas of experience include: drug mechanism of action (MOA), drug repositioning, target identification, big data reproducibility, oncology, neurodegeneration, transcriptomics, and computational toxicology.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Kim J, Zhang J, Cha Y, Kolitz S, Funt J, Escalante Chong R, Barrett S, Kusko R, Zeskind B, Kaufman H. Advanced bioinformatics rapidly identifies existing therapeutics for patients with coronavirus disease-2019 (COVID-19). J Transl Med. 2020 06 25; 18(1):257. PMID: 32586380; PMCID: PMC7315012; DOI: 10.1186/s12967-020-02430-9;
  2. Pan B, Kusko R, Xiao W, Zheng Y, Liu Z, Xiao C, Sakkiah S, Guo W, Gong P, Zhang C, Ge W, Shi L, Tong W, Hong H. Correction to: Similarities and differences between variants called with human reference genome HG19 or HG38. BMC Bioinformatics. 2019 May 15; 20(1):252. PMID: 31092200; PMCID: PMC6521484; DOI: 10.1186/s12859-019-2776-7;
  3. Pan B, Kusko R, Xiao W, Zheng Y, Liu Z, Xiao C, Sakkiah S, Guo W, Gong P, Zhang C, Ge W, Shi L, Tong W, Hong H. Similarities and differences between variants called with human reference genome HG19 or HG38. BMC Bioinformatics. 2019 Mar 14; 20(Suppl 2):101. PMID: 30871461; PMCID: PMC6419332; DOI: 10.1186/s12859-019-2620-0;
  4. Sakkiah S, Guo W, Pan B, Kusko R, Tong W, Hong H. Computational prediction models for assessing endocrine disrupting potential of chemicals. J Environ Sci Health C Environ Carcinog Ecotoxicol Rev. 2018; 36(4):192-218. PMID: 30633647
  5. Kusko R, Dreymann J, Ross J, Cha Y, Escalante-Chong R, Garcia-Miralles M, Tan LJ, Burczynski ME, Zeskind B, Laifenfeld D, Pouladi M, Geva M, Grossman I, Hayden MR. Large-scale transcriptomic analysis reveals that pridopidine reverses aberrant gene expression and activates neuroprotective pathways in the YAC128 HD mouse. Mol Neurodegener. 2018 05 21; 13(1):25. PMID: 29783994; PMCID: PMC5963017; DOI: 10.1186/s13024-018-0259-3;
  6. Sakkiah S, Kusko R, Pan B, Guo W, Ge W, Tong W, Hong H. Structural Changes Due to Antagonist Binding in Ligand Binding Pocket of Androgen Receptor Elucidated Through Molecular Dynamics Simulations. Front Pharmacol. 2018; 9:492. PMID: 29867496; PMCID: PMC5962723; DOI: 10.3389/fphar.2018.00492;
  7. Brothers JF, Ung M, Escalante-Chong R, Ross J, Zhang J, Cha Y, Lysaght A, Funt J, Kusko R. Integrity, standards, and QC-related issues with big data in pre-clinical drug discovery. Biochem Pharmacol. 2018 06; 152:84-93. PMID: 29551586
  8. Shi L, Kusko R, Wolfinger RD, Haibe-Kains B, Fischer M, Sansone SA, Mason CE, Furlanello C, Jones WD, Ning B, Tong W. The international MAQC Society launches to enhance reproducibility of high-throughput technologies. Nat Biotechnol. 2017 12 08; 35(12):1127-1128. PMID: 29220036
  9. Garcia-Miralles M, Geva M, Tan JY, Yusof NABM, Cha Y, Kusko R, Tan LJ, Xu X, Grossman I, Orbach A, Hayden MR, Pouladi MA. Early pridopidine treatment improves behavioral and transcriptional deficits in YAC128 Huntington disease mice. JCI Insight. 2017 12 07; 2(23). PMID: 29212949; PMCID: PMC5752291; DOI: 10.1172/jci.insight.95665;
  10. Ross CJ, Towfic F, Shankar J, Laifenfeld D, Thoma M, Davis M, Weiner B, Kusko R, Zeskind B, Knappertz V, Grossman I, Hayden MR. A pharmacogenetic signature of high response to Copaxone in late-phase clinical-trial cohorts of multiple sclerosis. Genome Med. 2017 May 31; 9(1):50. PMID: 28569182; PMCID: PMC5450152; DOI: 10.1186/s13073-017-0436-y;
Showing 10 of 19 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 19 publications over 8 distinct years, with a maximum of 5 publications in 2017

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75 E. Newton St Evans Building
Boston MA 02118
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